default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSanaz Mostaghim
Person information
- affiliation: Otto von Guericke University Magdeburg, Faculty of Computer Science, Germany
- affiliation: Karlsruhe Institute of Technology, AIFB, Germany
- affiliation: University of Paderborn, Department of Electrical Engineering, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j26]Qihao Shan, Sanaz Mostaghim:
Many-option collective decision making: discrete collective estimation in large decision spaces. Swarm Intell. 18(2): 215-241 (2024)- [c150]Sebastian Mai
, Sanaz Mostaghim:
Decentralized Conflict Resolution for Navigation in Swarm Robotics. ANTS 2024: 215-223 - [c149]Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Free-Form Coverage Path Planning of Quadcopter Swarms for Search and Rescue Missions Using Multi-Objective Optimization. CEC 2024: 1-8 - [c148]Boris Djartov, Sanaz Mostaghim, Anne Papenfuß, Matthias Wies:
A Learning Classifier System Approach to Time-Critical Decision-Making in Dynamic Alternate Airport Selection. CEC 2024: 1-8 - [c147]Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu:
Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. CEC 2024: 1-8 - [c146]Saiful Islam, Sanaz Mostaghim, Michael Hartmann:
A Survey on Multi-Objective Optimization in Microgrid Systems. CEC 2024: 1-8 - [c145]Markus Rothkötter, Niklas Kluge, Sanaz Mostaghim:
Application of a Bi-Objective EA for RAN Resources Optimization in a Dynamic Scenario. CEC 2024: 1-8 - [c144]Carlo Nübel, Alexander Dockhorn, Sanaz Mostaghim:
Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies. CoG 2024: 1-4 - [c143]Simon Anderer, Bernd Scheuermann, Sanaz Mostaghim:
Studies on Multi-objective Role Mining in ERP Systems. EvoStar 2024: 81-96 - [c142]Jens Weise, Sanaz Mostaghim:
Finding Sets of Solutions for Temporal Uncertain Problems. EvoApplications@EvoStar 2024: 209-223 - [c141]Simon Anderer, Nicolas Justen, Bernd Scheuermann, Sanaz Mostaghim:
Survival Strategies for Evolutionary Role Mining Algorithms Using Expert Knowledge. GECCO Companion 2024: 623-626 - [c140]Eva Röper, Jens Weise, Christoph Steup, Sanaz Mostaghim:
Innovization for Route Planning Applied to an Uber Movement Speeds Dataset for Berlin. PPSN (4) 2024: 100-116 - [c139]Julia Reuter, Viktor Martinek, Roland Herzog, Sanaz Mostaghim:
Unit-Aware Genetic Programming for the Development of Empirical Equations. PPSN (1) 2024: 168-183 - [d5]Hani Elmestikawy, Julia Reuter, Fabien Evrard, Sanaz Mostaghim, Berend G. M. van Wachem:
Data for the paper: "Deterministic drag modelling for spherical particles in Stokes regime using data-driven approaches". Zenodo, 2024
- [d4]Sanaz Mostaghim, Andy Pryke:
Heatmap Visualisation of Population Based Multi Objective Algorithms. Zenodo, 2024 - [i13]Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu:
Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. CoRR abs/2405.00401 (2024) - [i12]Julia Reuter, Viktor Martinek, Roland Herzog, Sanaz Mostaghim:
Unit-Aware Genetic Programming for the Development of Empirical Equations. CoRR abs/2405.18896 (2024) - [i11]Viktor Martinek, Julia Reuter, Ophelia Frotscher, Sanaz Mostaghim, Markus Richter, Roland Herzog:
Shape Constraints in Symbolic Regression using Penalized Least Squares. CoRR abs/2405.20800 (2024) - [i10]Carlo Nübel, Alexander Dockhorn, Sanaz Mostaghim:
Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies. CoRR abs/2408.05960 (2024) - 2023
- [j25]Jens Weise, Sanaz Mostaghim:
A comparison of distance metrics for the multi-objective pathfinding problem. Nat. Comput. 22(2): 315-328 (2023) - [j24]Mahrokh Javadi, Sanaz Mostaghim:
Analysis of inter and intra-front operations in multi-modal multi-objective optimization problems. Nat. Comput. 22(2): 341-356 (2023) - [j23]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Survey on Multi-Objective Task Allocation Algorithms for IoT Networks. Sensors 23(1): 142 (2023) - [j22]Simon Anderer, Tobias Kempter, Bernd Scheuermann, Sanaz Mostaghim:
Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary Algorithms. SN Comput. Sci. 4(4): 416 (2023) - [j21]Qihao Shan, Sanaz Mostaghim:
Noise-resistant and scalable collective preference learning via ranked voting in swarm robotics. Swarm Intell. 17(1-2): 5-26 (2023) - [j20]Alexander Dockhorn, Martin Kirst, Sanaz Mostaghim, Martin Wieczorek, Heiner Zille:
Evolutionary Algorithm for Parameter Optimization of Context-Steering Agents. IEEE Trans. Games 15(1): 26-35 (2023) - [c138]Sanaz Mostaghim, Qihao Shan, Christiane Desel, Alexander Duscha, Aiden Haghikia, Tobias Hegelmaier, Felix Kuhn, Stefan Remy:
Medical and Behavioral Knowledge Discovery using Multi-Objective Analysis. CIBCB 2023: 1-8 - [c137]Julia Heise, Sanaz Mostaghim:
Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. EMO 2023: 162-175 - [c136]Sebastian Mai, Tobias Benecke, Sanaz Mostaghim:
MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. EMO 2023: 305-318 - [c135]Julia Reuter, Hani Elmestikawy, Fabien Evrard, Sanaz Mostaghim, Berend G. M. van Wachem:
Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows. EuroGP 2023: 36-51 - [c134]Julia Heise, Jens Weise, Sanaz Mostaghim:
Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments. GECCO Companion 2023: 69-70 - [c133]Tobias Benecke, Oliver Antons, Sanaz Mostaghim, Julia C. Arlinghaus:
A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms. GECCO Companion 2023: 355-358 - [c132]Markus Rothkötter, Sanaz Mostaghim:
A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization. GECCO Companion 2023: 407-410 - [c131]Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Multi-Objective Seed Curve Optimization for Coverage Path Planning in Precision Farming. GECCO 2023: 1312-1320 - [c130]Boris Djartov, Sanaz Mostaghim:
Multi-objective Multiplexer Decision Making Benchmark Problem. GECCO Companion 2023: 1676-1683 - [c129]Iffat Jamil, Sanaz Mostaghim, Berend G. M. van Wachem, Victor Chéron, Max Hausmann:
Landscape Analysis of Multi-objective Control of Fluidized Beds. GECCO Companion 2023: 1950-1955 - [c128]Sanaz Mostaghim:
Next Generation of Multi-Objective Evolutionary Optimization and Decision-Making Algorithms. IJCCI 2023: 23 - [c127]Simon Anderer, Nicolas Justen, Bernd Scheuermann, Sanaz Mostaghim:
Interactive Role Mining Including Expert Knowledge into Evolutionary Algorithms. IJCCI 2023: 151-162 - [c126]Oliver Antons, Tobias Benecke, Sanaz Mostaghim, Julia C. Arlinghaus:
Sustainability in Chemical Production - Multi-Objective Distributed Control. SoMeT 2023: 211-219 - [c125]Tobias Benecke, Sanaz Mostaghim:
Effects of Optimal Genetic Material in the Initial Population of Evolutionary Algorithms. SSCI 2023: 1386-1391 - [c124]Julia Reuter, Pravin Pandey, Sanaz Mostaghim:
Multi-Objective Island Model Genetic Programming for Predicting the Stokes Flow around a Sphere. SSCI 2023: 1485-1490 - [d3]Jens Weise, Sanaz Mostaghim:
Dataset (Pareto fronts and sets) for the Multi-objective pathfinding problem. Zenodo, 2023 - 2022
- [b3]Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher:
Computational Intelligence - A Methodological Introduction, Third Edition. Texts in Computer Science, Springer 2022, ISBN 978-3-030-42226-4, pp. 1-625 - [j19]Dominik Fischer, Sanaz Mostaghim, Thomas Seidelmann:
Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 17(3): 54-65 (2022) - [j18]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Availability-Aware Multiobjective Task Allocation Algorithm for Internet of Things Networks. IEEE Internet Things J. 9(15): 12945-12953 (2022) - [j17]Jens Weise, Sanaz Mostaghim:
A Scalable Many-Objective Pathfinding Benchmark Suite. IEEE Trans. Evol. Comput. 26(1): 188-194 (2022) - [c123]Qihao Shan, Sanaz Mostaghim:
Benchmarking Performances of Collective Decision-Making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation. ANTS Conference 2022: 54-65 - [c122]Sebastian Mai, Sanaz Mostaghim:
Collective Decision-Making for Conflict Resolution in Multi-Agent Pathfinding. ANTS Conference 2022: 79-90 - [c121]Sebastian Mai, Maximilian Deubel, Sanaz Mostaghim:
Multi-Objective Roadmap Optimization for Multiagent Navigation. CEC 2022: 1-8 - [c120]Julia Reuter, Manoj Cendrollu, Fabien Evrard, Sanaz Mostaghim, Berend G. M. van Wachem:
Towards Improving Simulations of Flows around Spherical Particles Using Genetic Programming. CEC 2022: 1-8 - [c119]Thomas Seidelmann, Sanaz Mostaghim:
Finding Cost-Effective Re-Layouting Solutions in Modern Brownfield Facility Layout Planning. CEC 2022: 1-8 - [c118]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Multi-Objective Task Allocation for Dynamic IoT Networks. COINS 2022: 1-5 - [c117]Julia Reuter, Christoph Steup, Sanaz Mostaghim:
Genetic Programming-Based Inverse Kinematics for Robotic Manipulators. EuroGP 2022: 130-145 - [c116]Simon Anderer, Falk Schrader, Bernd Scheuermann, Sanaz Mostaghim:
Evolutionary Algorithms for the Constrained Two-Level Role Mining Problem. EvoCOP 2022: 79-94 - [c115]Tobias Benecke, Sanaz Mostaghim:
Estimating the quality of initial populations in multi-objective evolutionary algorithms. GECCO Companion 2022: 324-327 - [c114]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Surrogate models for IoT task allocation optimization. GECCO Companion 2022: 364-366 - [c113]Sebastian Mai, Nele Traichel, Sanaz Mostaghim:
Driving Swarm: A Swarm Robotics Framework for Intelligent Navigation in a Self-organized World. ICRA 2022: 1-7 - [c112]Simon Anderer, Alpay Sahin, Bernd Scheuermann, Sanaz Mostaghim:
On using Authorization Traces to Support Role Mining with Evolutionary Algorithms. IJCCI 2022: 121-132 - [c111]Boris Djartov, Sanaz Mostaghim, Anne Papenfuß, Matthias Wies:
Description and First Evaluation of an Approach for a Pilot Decision Support System Based on Multi-attribute Decision Making. SSCI 2022: 141-147 - 2021
- [j16]Sanaz Mostaghim:
IEEE CIS VP-Member Activities Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 16(1): 8 (2021) - [j15]Victor Charpenay, Daniel Schraudner, Thomas Seidelmann, Torsten Spieldenner, Jens Weise, René Schubotz, Sanaz Mostaghim, Andreas Harth:
MOSAIK: A Formal Model for Self-Organizing Manufacturing Systems. IEEE Pervasive Comput. 20(1): 9-18 (2021) - [j14]Palina Bartashevich, Sanaz Mostaghim:
Multi-featured collective perception with Evidence Theory: tackling spatial correlations. Swarm Intell. 15(1-2): 83-110 (2021) - [j13]Qihao Shan, Sanaz Mostaghim:
Achieving task allocation in swarm intelligence with bi-objective embodied evolution. Swarm Intell. 15(3): 287-310 (2021) - [j12]Qihao Shan, Sanaz Mostaghim:
Discrete collective estimation in swarm robotics with distributed Bayesian belief sharing. Swarm Intell. 15(4): 377-402 (2021) - [c110]Rohit Salgotra, Amiram Moshaiov, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim:
Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. CEC 2021: 720-727 - [c109]Tobias Benecke, Sanaz Mostaghim:
Tracking the Heritage of Genes in Evolutionary Algorithms. CEC 2021: 1800-1807 - [c108]Alexander Dockhorn, Sanaz Mostaghim, Martin Kirst, Martin Zettwitz:
Multi-Objective Optimization and Decision-Making in Context Steering. CoG 2021: 1-8 - [c107]Mahrokh Javadi, Sanaz Mostaghim:
Using Neighborhood-Based Density Measures for Multimodal Multi-objective Optimization. EMO 2021: 335-345 - [c106]Jens Weise, Sanaz Mostaghim:
Many-Objective Pathfinding Based on Fréchet Similarity Metric. EMO 2021: 375-386 - [c105]Florian Uhde, Sanaz Mostaghim:
Dissecting Neural Networks Filter Responses for Artistic Style Transfer. EvoMUSART 2021: 297-312 - [c104]Heiner Zille, Sanaz Mostaghim, Fabien Evrard, Berend G. M. van Wachem:
Unit-aware multi-objective genetic programming for the prediction of the stokes flow around a sphere. GECCO Companion 2021: 327-328 - [c103]Simon Anderer, Tobias Kempter, Bernd Scheuermann, Sanaz Mostaghim:
The Dynamic Role Mining Problem: Role Mining in Dynamically Changing Business Environments. IJCCI 2021: 37-48 - [c102]Simon Anderer, Bernd Scheuermann, Sanaz Mostaghim, Patrick Bauerle, Matthias Beil:
RMPlib: A Library of Benchmarks for the Role Mining Problem. SACMAT 2021: 3-13 - [c101]Tobias Benecke, Sanaz Mostaghim:
The Impact of Population Size on the Convergence of Multi-objective Evolutionary Algorithms. SSCI 2021: 1-8 - [c100]Mahrokh Javadi, Sanaz Mostaghim:
A Multi-objective Multimodal Evolutionary Algorithm Using a Novel Tournament and Environmental Selections. SSCI 2021: 1-7 - [c99]Thomas Seidelmann, Jens Weise, Sanaz Mostaghim:
Meeting Demands for Mass Customization: A Hybrid Organic Computing Approach. SSCI 2021: 1-8 - [c98]Qihao Shan, Alexander Heck, Sanaz Mostaghim:
Discrete Collective Estimation in Swarm Robotics with Ranked Voting Systems. SSCI 2021: 1-8 - [c97]Dominik Weikert, Christoph Steup, David Atienza, Sanaz Mostaghim:
Mobility-Aware Multi-Objective Task Allocation for Wireless Sensor Networks. SSCI 2021: 1-8 - [c96]Jens Weise, Sanaz Mostaghim:
A Customized Niching Methodology for the Many-Objective Pathfinding Problem. SSCI 2021: 1-8 - [c95]Jens Weise, Heiner Zille, Sanaz Mostaghim:
A Comparative Study of Different Encodings on the Multi-Objective Pathfinding Problem. SSCI 2021: 1-8 - [i9]Rohit Salgotra, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim, Amiram Moshaiov:
Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. CoRR abs/2102.12279 (2021) - 2020
- [j11]Dominik Weikert, Sebastian Mai, Sanaz Mostaghim:
Particle Swarm Contour Search Algorithm. Entropy 22(4): 407 (2020) - [c94]Qihao Shan, Sanaz Mostaghim:
Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testing. ANTS Conference 2020: 55-67 - [c93]Sebastian Mai, Sanaz Mostaghim:
Modeling Pathfinding for Swarm Robotics. ANTS Conference 2020: 190-202 - [c92]Mahrokh Javadi, Cristian Ramírez-Atencia, Sanaz Mostaghim:
A Novel Grid-based Crowding Distance for Multimodal Multi-objective Optimization. CEC 2020: 1-8 - [c91]Cristian Ramírez-Atencia, Tobias Benecke, Sanaz Mostaghim:
T-EA: A Traceable Evolutionary Algorithm. CEC 2020: 1-8 - [c90]Jens Weise, Sebastian Mai, Heiner Zille, Sanaz Mostaghim:
On the Scalable Multi-Objective Multi-Agent Pathfinding Problem. CEC 2020: 1-8 - [c89]Akshay Thakur, Robert Beck, Sanaz Mostaghim, Daniel Großmann:
Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study. DSAA 2020: 781-782 - [c88]Akshay Thakur, Robert Beck, Sanaz Mostaghim, Daniel Großmann:
Survey into predictive key performance indicator analysis from data mining perspective. ETFA 2020: 476-483 - [c87]Jens Weise, Sanaz Mostaghim:
A many-objective route planning benchmark problem for navigation. GECCO Companion 2020: 183-184 - [c86]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Enhancing Resilience in IoT Networks using Organic Computing. GI-Jahrestagung 2020: 1205-1214 - [c85]Sanaz Mostaghim:
Collective and Individual Decision-Making in Swarm Robotics. IJCCI 2020: 7 - [c84]Simon Anderer, Daniel Kreppein, Bernd Scheuermann, Sanaz Mostaghim:
The addRole-EA: A New Evolutionary Algorithm for the Role Mining Problem. IJCCI 2020: 155-166 - [c83]Sanaz Mostaghim:
Collective and Individual Decision-Making in Swarm Robotics. ROBOVIS 2020: 7 - [c82]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Multi-Objective Task Allocation for Wireless Sensor Networks. SSCI 2020: 181-188 - [c81]Palina Bartashevich, Doreen Koerte, Sanaz Mostaghim:
Impact of Communication Topology on PSO-based Swarms in Vector Fields. SSCI 2020: 497-504 - [c80]Agha Ali Haider Qizilbash, Christian Henkel, Sanaz Mostaghim:
Ant Colony Optimization based Multi-Robot Planner for Combined Task Allocation and Path Finding. UR 2020: 487-493 - [d2]Jens Weise, Sanaz Mostaghim:
Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets. IEEE DataPort, 2020 - [i8]Cristian Ramírez-Atencia, Sanaz Mostaghim, David Camacho:
sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems. CoRR abs/2002.08867 (2020) - [i7]Jens Weise, Sanaz Mostaghim:
Scalable Many-Objective Pathfinding Benchmark Suite. CoRR abs/2010.04501 (2020)
2010 – 2019
- 2019
- [j10]Xenija Neufeld, Sanaz Mostaghim, Dario L. Sancho-Pradel, Sandy Brand:
Building a Planner: A Survey of Planning Systems Used in Commercial Video Games. IEEE Trans. Games 11(2): 91-108 (2019) - [c79]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoG 2019: 1-8 - [c78]Xenija Neufeld, Sanaz Mostaghim, Diego Perez Liebana:
Evolving Game State Evaluation Functions for a Hybrid Planning Approach. CoG 2019: 1-8 - [c77]Heiner Zille, Sanaz Mostaghim:
Linear Search Mechanism for Multi- and Many-Objective Optimisation. EMO 2019: 399-410 - [c76]Sebastian Mai, Heiner Zille, Christoph Steup, Sanaz Mostaghim:
Online Optimization of Movement Cost for Robotic Applications of PSO. EPIA (2) 2019: 307-318 - [c75]Palina Bartashevich, Sanaz Mostaghim:
Ising Model as a Switch Voting Mechanism in Collective Perception. EPIA (2) 2019: 617-629 - [c74]Palina Bartashevich, Sanaz Mostaghim:
Benchmarking Collective Perception: New Task Difficulty Metrics for Collective Decision-Making. EPIA (1) 2019: 699-711 - [c73]Palina Bartashevich, Sanaz Mostaghim:
Positive impact of isomorphic changes in the environment on collective decision-making. GECCO (Companion) 2019: 105-106 - [c72]Mardé Helbig, Heiner Zille, Mahrokh Javadi, Sanaz Mostaghim:
Performance of dynamic algorithms on the dynamic distance minimization problem. GECCO (Companion) 2019: 205-206 - [c71]Mahrokh Javadi, Heiner Zille, Sanaz Mostaghim:
Modified crowding distance and mutation for multimodal multi-objective optimization. GECCO (Companion) 2019: 211-212 - [c70]Sebastian Mai, Heiner Zille, Christoph Steup, Sanaz Mostaghim:
Multi-objective collective search and movement-based metrics in swarm robotics. GECCO (Companion) 2019: 387-388 - [c69]Jens Weise, Steven Benkhardt, Sanaz Mostaghim:
Graph-based multi-objective generation of customised wiring harnesses. GECCO (Companion) 2019: 407-408 - [e2]Kalyanmoy Deb, Erik D. Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick M. Reed:
Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11411, Springer 2019, ISBN 978-3-030-12597-4 [contents] - [i6]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoRR abs/1903.12508 (2019) - [i5]Alexander Dockhorn, Sanaz Mostaghim:
Introducing the Hearthstone-AI Competition. CoRR abs/1906.04238 (2019) - 2018
- [j9]Sanaz Mostaghim, Christoph Steup, Heiner Zille:
Multi-objective distance minimization problems - applications in technical systems. Autom. 66(11): 964-974 (2018) - [j8]Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation. IEEE Trans. Evol. Comput. 22(2): 260-275 (2018) - [c68]Xenija Neufeld, Sanaz Mostaghim, Sandy Brand:
A Hybrid Approach to Planning and Execution in Dynamic Environments Through Hierarchical Task Networks and Behavior Trees. AIIDE 2018: 201-207 - [c67]Palina Bartashevich, Welf Knors, Sanaz Mostaghim:
Vector Field Benchmark for Collective Search in Unknown Dynamic Environments. ANTS Conference 2018: 411-419 - [c66]Hemant Kumar Singh, Kalyan Shankar Bhattacharjee, Tapabrata Ray, Sanaz Mostaghim:
Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms. Australasian Conference on Artificial Intelligence 2018: 384-396 - [c65]Florian Uhde, Sanaz Mostaghim:
Towards a General Framework for Artistic Style Transfer. EvoMUSART 2018: 177-193 - [c64]Dominik Fischer, Sanaz Mostaghim, Larissa Albantakis:
How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task. GECCO 2018: 77-84 - [c63]Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi:
Evolving PSO algorithm design in vector fields using geometric semantic GP. GECCO (Companion) 2018: 262-263 - [c62]Frederick Sander, Heiner Zille, Sanaz Mostaghim:
Transfer strategies from single- to multi-objective grouping mechanisms. GECCO 2018: 729-736 - [c61]Simon Anderer, Thanh-Ha Vu, Bernd Scheuermann, Sanaz Mostaghim:
Meta Heuristics for Dynamic Machine Scheduling: A Review of Research Efforts and Industrial Requirements. IJCCI 2018: 192-203 - [c60]Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi:
PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming. PPSN (1) 2018: 41-53 - [c59]Jens Weise, Steven Benkhardt, Sanaz Mostaghim:
A Survey on Graph-based Systems in Manufacturing Processes. SSCI 2018: 112-119 - [c58]Lukas Hoyer, Christoph Steup, Sanaz Mostaghim:
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. SSCI 2018: 1388-1395 - [c57]Asema Hassan, Sanaz Mostaghim:
Understanding Collective Decision-Making in Natural Swarms. SSCI 2018: 1563-1570 - [c56]Sebastian Mai, Christoph Steup, Sanaz Mostaghim:
Simultaneous Localisation and Optimisation for Swarm Robotics. SSCI 2018: 1998-2004 - [i4]Dominik Fischer, Sanaz Mostaghim, Larissa Albantakis:
How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task. CoRR abs/1804.08940 (2018) - [i3]Lukas Hoyer, Christoph Steup, Sanaz Mostaghim:
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. CoRR abs/1810.01665 (2018) - 2017
- [c55]Heiner Zille, Andre Kottenhahn, Sanaz Mostaghim:
Dynamic Distance Minimization Problems for dynamic multi-objective optimization. CEC 2017: 952-959 - [c54]Palina Bartashevich, Luigi Grimaldi, Sanaz Mostaghim:
PSO-based Search mechanism in dynamic environments: Swarms in Vector Fields. CEC 2017: 1263-1270 - [c53]Ruby L. V. Moritz, Heiner Zille, Sanaz Mostaghim:
Elitism and aggregation methods in partial redundant evolutionary swarms solving a multi-objective tasks. CEC 2017: 1467-1473 - [c52]Xenija Neufeld, Sanaz Mostaghim, Diego Perez Liebana:
HTN fighter: Planning in a highly-dynamic game. CEEC 2017: 189-194 - [c51]Julian Blank, Kalyanmoy Deb, Sanaz Mostaghim:
Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms. EMO 2017: 46-60 - [c50]Ruby L. V. Moritz, Sanaz Mostaghim:
Heterogeneous Evolutionary Swarms with Partial Redundancy Solving Multi-objective Tasks. EMO 2017: 453-468 - [c49]Cristian Ramírez-Atencia, Sanaz Mostaghim, David Camacho:
A knee point based evolutionary multi-objective optimization for mission planning problems. GECCO 2017: 1216-1223 - [c48]Simon Anderer, Max Halbich, Bernd Scheuermann, Sanaz Mostaghim:
Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem. IJCCI 2017: 35-44 - [c47]Palina Bartashevich, Doreen Koerte, Sanaz Mostaghim:
Energy-saving decision making for aerial swarms: PSO-based navigation in vector fields. SSCI 2017: 1-8 - [c46]Heiner Zille, Sanaz Mostaghim:
Comparison study of large-scale optimisation techniques on the LSMOP benchmark functions. SSCI 2017: 1-8 - 2016
- [b2]Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher:
Computational Intelligence - A Methodological Introduction, Second Edition. Texts in Computer Science, Springer 2016, ISBN 978-1-4471-7294-9, pp. 1-551 - [j7]Heiko Hamann, Yara Khaluf, Jean Botev, Mohammad Divband Soorati, Eliseo Ferrante, Oliver Kosak, Jean-Marc Montanier, Sanaz Mostaghim, Richard Redpath, Jon Timmis, Frank Veenstra, Mostafa Wahby, Ales Zamuda:
Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems. Frontiers Robotics AI 3: 14 (2016) - [c45]Diego Perez Liebana, Sanaz Mostaghim, Simon M. Lucas:
Multi-objective tree search approaches for general video game playing. CEC 2016: 624-631 - [c44]Patrick Laack, Heiner Zille, Sanaz Mostaghim:
Multi-objective fitness-proportional attraction approach with weights. CEC 2016: 3316-3323 - [c43]Kei Harada, Misato Tanaka, Satoru Hiwa, Heiner Zille, Sanaz Mostaghim, Tomoyuki Hiroyasu:
Functional brain network extraction using a genetic algorithm with a kick-out method. CEC 2016: 4721-4727 - [c42]Ruby L. V. Moritz, Sanaz Mostaghim:
The Influence of Heredity Models on Adaptability in Evolutionary Swarms. GECCO 2016: 37-44 - [c41]Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
Weighted Optimization Framework for Large-scale Multi-objective Optimization. GECCO (Companion) 2016: 83-84 - [c40]Sanaz Mostaghim, Christoph Steup, Fabian Witt:
Energy Aware Particle Swarm Optimization as search mechanism for aerial micro-robots. SSCI 2016: 1-7 - [c39]Franz Pieper, Sanaz Mostaghim:
Influence of dynamic environments on agent strategies. SSCI 2016: 1-8 - [c38]Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
Mutation operators based on variable grouping for multi-objective large-scale optimization. SSCI 2016: 1-8 - 2015
- [j6]Seyedali Mirjalili, Andrew Lewis, Sanaz Mostaghim:
Confidence measure: A novel metric for robust meta-heuristic optimisation algorithms. Inf. Sci. 317: 114-142 (2015) - [j5]Diego Perez Liebana, Sanaz Mostaghim, Spyridon Samothrakis, Simon M. Lucas:
Multiobjective Monte Carlo Tree Search for Real-Time Games. IEEE Trans. Comput. Intell. AI Games 7(4): 347-360 (2015) - [c37]Heiner Zille, Sanaz Mostaghim:
Properties of scalable Distance Minimization Problems using the Manhattan metric. CEC 2015: 2875-2882 - [c36]Diego Perez Liebana, Jens Dieskau, Martin Hunermund, Sanaz Mostaghim, Simon M. Lucas:
Open Loop Search for General Video Game Playing. GECCO 2015: 337-344 - [c35]Heiner Zille, Sanaz Mostaghim:
Using ?-Dominance for Hidden and Degenerated Pareto-Fronts. SSCI 2015: 845-852 - 2014
- [j4]Sabrina Merkel, Sanaz Mostaghim, Hartmut Schmeck:
Hop count based distance estimation in mobile ad hoc networks - Challenges and consequences. Ad Hoc Networks 15: 39-52 (2014) - [c34]Andre Britto, Sanaz Mostaghim, Aurora Trinidad Ramirez Pozo:
Archive Based Multi-swarm Algorithm for Many-Objective Problems. BRACIS 2014: 79-84 - [c33]Robin C. Purshouse, Kalyanmoy Deb, Maszatul M. Mansor, Sanaz Mostaghim, Rui Wang:
A review of hybrid evolutionary multiple criteria decision making methods. IEEE Congress on Evolutionary Computation 2014: 1147-1154 - 2013
- [j3]Gianluigi Folino, Carlo Mastroianni, Sanaz Mostaghim:
Preface: nature inspired solutions for high performance computing. Nat. Comput. 12(1): 27-28 (2013) - [j2]Sabine Helwig, Jürgen Branke, Sanaz Mostaghim:
Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization. IEEE Trans. Evol. Comput. 17(2): 259-271 (2013) - [c32]Andre Britto, Sanaz Mostaghim, Aurora T. R. Pozo:
Iterated multi-swarm: a multi-swarm algorithm based on archiving methods. GECCO 2013: 583-590 - [c31]Sabrina Merkel, Sanaz Mostaghim, Daniel Blum, Hartmut Schmeck:
Distributed swarm evacuation planning. SIS 2013: 276-283 - 2012
- [c30]Sabrina Merkel, Sanaz Mostaghim, Hartmut Schmeck:
Distributed Geometric Distance Estimation in Ad Hoc Networks. ADHOC-NOW 2012: 28-41 - [c29]Aldeida Aleti, Irene Moser, Sanaz Mostaghim:
Adaptive Range Parameter Control. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c28]Juan Luis Jiménez Laredo, Pascal Bouvry, Sanaz Mostaghim, Juan Julián Merelo Guervós:
Validating a Peer-to-Peer Evolutionary Algorithm. EvoApplications 2012: 436-445 - [c27]Sabrina Merkel, Sanaz Mostaghim, Hartmut Schmeck:
A Study of Mobility in Ad Hoc Networks and Its Effects on a Hop Count Based Distance Estimation. NTMS 2012: 1-5 - 2011
- [c26]Sanaz Mostaghim, Friederike Pfeiffer, Hartmut Schmeck:
Self-organized invasive parallel optimization. BADS@ICAC 2011: 49-56 - [c25]Lukas König, Sanaz Mostaghim, Hartmut Schmeck:
A Markov-chain-based Model for Success Prediction of Evolution in Complex Environments. IJCCI (ECTA-FCTA) 2011: 90-102 - [p4]Sanaz Mostaghim, Hartmut Schmeck, Micaela Wünsche, Marcus Geimer, Timo Kautzmann:
Organic Computing in Off-highway Machines. Organic Computing 2011: 601-603 - [e1]Gianluigi Folino, Carlo Mastroianni, Sanaz Mostaghim, Junichi Suzuki:
Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems, BADS '11, Karlsruhe, Germany, June 14, 2011. ACM 2011, ISBN 978-1-4503-0733-8 [contents] - 2010
- [c24]Irene Moser, Sanaz Mostaghim:
The automotive deployment problem: A practical application for constrained multiobjective evolutionary optimisation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c23]Micaela Wuensche, Sanaz Mostaghim, Hartmut Schmeck, Timo Kautzmann, Marcus Geimer:
Organic computing in off-highway machines. SOAR@ICAC 2010: 51-58 - [c22]Sanaz Mostaghim, Heike Trautmann, Olaf Mersmann:
Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. PPSN (2) 2010: 101-110 - [p3]Markus Kress, Sanaz Mostaghim, Detlef Seese:
Intelligent Business Process Execution using Particle Swarm Optimization. Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery 2010: 49-66 - [p2]Sanaz Mostaghim:
Parallel Multi-objective Optimization Using Self-organized Heterogeneous Resources. Parallel and Distributed Computational Intelligence 2010: 165-179
2000 – 2009
- 2009
- [j1]Lukas König, Sanaz Mostaghim, Hartmut Schmeck:
Decentralized evolution of robotic behavior using finite state machines. Int. J. Intell. Comput. Cybern. 2(4): 695-723 (2009) - [c21]Sanaz Mostaghim, Hartmut Schmeck:
Self-organized Parallel Cooperation for Solving Optimization Problems. ARCS 2009: 135-145 - [c20]Lukas König, Sanaz Mostaghim, Hartmut Schmeck:
Online and onboard evolution of robotic behavior using finite state machines. AAMAS (2) 2009: 1325-1326 - [c19]Ian Scriven, Andrew Lewis, Sanaz Mostaghim:
Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks. IEEE Congress on Evolutionary Computation 2009: 1515-1522 - [c18]Nikhil Padhye, Jürgen Branke, Sanaz Mostaghim:
Empirical comparison of MOPSO methods - Guide selection and diversity preservation -. IEEE Congress on Evolutionary Computation 2009: 2516-2523 - [i2]Jörg Fliege, Nicola Beume, Jürgen Branke, Heinrich Braun, Nirupam Chakraborti, Kalyanmoy Deb, Sabine Helwig, Joshua D. Knowles, Martin Middendorf, Sanaz Mostaghim, Silvia Poles, Daniel E. Salazar Aponte, Shukla Pradymn, El-Ghazali Talbi:
09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). Hybrid and Robust Approaches to Multiobjective Optimization 2009 - 2008
- [c17]Peter Bungert, Sanaz Mostaghim, Hartmut Schmeck, Jürgen Branke:
Design of Gate Array Circuits Using Evolutionary Algorithms. ARCS 2008: 38-50 - [c16]Sanaz Mostaghim, Jürgen Branke, Andrew Lewis, Hartmut Schmeck:
Parallel multi-objective optimization using Master-Slave model on heterogeneous resources. IEEE Congress on Evolutionary Computation 2008: 1981-1987 - [c15]Ian Scriven, David Ireland, Andrew Lewis, Sanaz Mostaghim, Jürgen Branke:
Asynchronous multiple objective particle swarm optimisation in unreliable distributed environments. IEEE Congress on Evolutionary Computation 2008: 2481-2486 - [c14]El-Ghazali Talbi, Sanaz Mostaghim, Tatsuya Okabe, Hisao Ishibuchi, Günter Rudolph, Carlos A. Coello Coello:
Parallel Approaches for Multiobjective Optimization. Multiobjective Optimization 2008: 349-372 - [c13]Sanaz Mostaghim, Hartmut Schmeck:
Distance Based Ranking in Many-Objective Particle Swarm Optimization. PPSN 2008: 753-762 - 2007
- [c12]Andy Pryke, Sanaz Mostaghim, Alireza Nazemi:
Heatmap Visualization of Population Based Multi Objective Algorithms. EMO 2007: 361-375 - [c11]Sanaz Mostaghim, Jürgen Branke, Hartmut Schmeck:
Multi-objective particle swarm optimization on computer grids. GECCO 2007: 869-875 - 2006
- [c10]Werner Halter, Sanaz Mostaghim:
Bilevel Optimization of Multi-Component Chemical Systems Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 1240-1247 - [c9]David Ireland, Andrew Lewis, Sanaz Mostaghim, Junwei Lu:
Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization. e-Science 2006: 116 - [c8]Jürgen Branke, Sanaz Mostaghim:
About Selecting the Personal Best in Multi-Objective Particle Swarm Optimization. PPSN 2006: 523-532 - 2005
- [p1]Sanaz Mostaghim, Jürgen Teich:
Quad-trees: A Data Structure for Storing Pareto Sets in Multiobjective Evolutionary Algorithms with Elitism. Evolutionary Multiobjective Optimization 2005: 81-104 - [i1]Sanaz Mostaghim, Jürgen Teich:
A New Approach on Many Objective Diversity Measurement. Practical Approaches to Multi-Objective Optimization 2005 - 2004
- [b1]Sanaz Mostaghim:
Multi-objective evolutionary algorithms: data structures, convergence, and diversity. University of Paderborn, Germany, Shaker 2004, ISBN 3-8322-3661-9, pp. 1-185 - [c7]Sanaz Mostaghim, Michael Hoffmann, Peter H. Konig, Thomas Frauenheim, Jürgen Teich:
Molecular force field parametrization using multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2004: 212-219 - [c6]Sanaz Mostaghim, Jürgen Teich:
Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization. IEEE Congress on Evolutionary Computation 2004: 1404-1411 - [d1]Sanaz Mostaghim:
Multi-Objective Particle Swarm Optimization. Zenodo, 2004 - 2003
- [c5]Sanaz Mostaghim, Jürgen Teich:
The role of ε-dominance in multi objective particle swarm optimization methods. IEEE Congress on Evolutionary Computation 2003: 1764-1771 - [c4]Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz, Jürgen Teich:
Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. EMO 2003: 118-132 - [c3]Christian Haubelt, Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi:
Solving Hierarchical Optimization Problems Using MOEAs. EMO 2003: 162-176 - [c2]Sanaz Mostaghim, Jürgen Teich:
Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO). SIS 2003: 26-33 - 2002
- [c1]Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi:
Comparison of data structures for storing Pareto-sets in MOEAs. IEEE Congress on Evolutionary Computation 2002: 843-848
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-27 00:43 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
