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2020 – today
- 2024
[i6]Mahdi Moeini, Daniel Schermer, Oliver Wendt:
Cascading-Tree Algorithm for the 0-1 Knapsack Problem (In Memory of Heiner Müller-Merbach, a Former President of IFORS). CoRR abs/2405.13450 (2024)- 2023
- [j11]Konstantin Kloster
, Mahdi Moeini, Daniele Vigo, Oliver Wendt:
The multiple traveling salesman problem in presence of drone- and robot-supported packet stations. Eur. J. Oper. Res. 305(2): 630-643 (2023) - [c18]Mahdi Moeini, Oliver Wendt, Marius Schummer:
A Bi-objective Routing Problem with Trucks and Drones: Minimizing Mission Time and Energy Consumption. ICCSA (Workshops 3) 2023: 291-308 - 2022
- [j10]Mahdi Moeini:
Solving the index tracking problem: a continuous optimization approach. Central Eur. J. Oper. Res. 30(2): 807-835 (2022) - 2021
- [c17]Mahdi Moeini, Lukas Mees:
Automated Tour Planning for Driving Service of Children with Disabilities: A Web-Based Platform and a Case Study. ICCL 2021: 456-470 - 2020
- [j9]Daniel Schermer, Mahdi Moeini, Oliver Wendt:
A branch-and-cut approach and alternative formulations for the traveling salesman problem with drone. Networks 76(2): 164-186 (2020) - [c16]Daniel Schermer, Mahdi Moeini, Oliver Wendt:
The Drone-Assisted Traveling Salesman Problem with Robot Stations. HICSS 2020: 1-10
2010 – 2019
- 2019
- [j8]Daniel Schermer, Mahdi Moeini, Oliver Wendt:
A hybrid VNS/Tabu search algorithm for solving the vehicle routing problem with drones and en route operations. Comput. Oper. Res. 109: 134-158 (2019) - [c15]Mahdi Moeini:
Orthogonal Bandit Learning for Portfolio Selection Under Cardinality Constraint. ICCSA (3) 2019: 232-248 - [c14]Mahdi Moeini, Hagen Salewski:
A Genetic Algorithm for Solving the Truck-Drone-ATV Routing Problem. WCGO 2019: 1023-1032 - [c13]Daniel Schermer, Mahdi Moeini, Oliver Wendt:
The Traveling Salesman Drone Station Location Problem. WCGO 2019: 1129-1138 - 2018
- [c12]Daniel Schermer, Mahdi Moeini, Oliver Wendt:
Algorithms for Solving the Vehicle Routing Problem with Drones. ACIIDS (1) 2018: 352-361 - [c11]Mahdi Moeini, David Goerzen, Oliver Wendt:
A Local Search Heuristic for Solving the Maximum Dispersion Problem. ACIIDS (1) 2018: 362-371 - 2017
- [j7]Dominik Goeke, Mahdi Moeini, David Poganiuch:
A Variable Neighborhood Search heuristic for the maximum ratio clique problem. Comput. Oper. Res. 87: 283-291 (2017) - [j6]Maximilian Ernestus, Stephan Friedrichs, Michael Hemmer, Jan Kokemüller, Alexander Kröller, Mahdi Moeini, Christiane Schmidt:
Algorithms for art gallery illumination. J. Glob. Optim. 68(1): 23-45 (2017) - [c10]Mahdi Moeini, Daniel Schermer, Oliver Wendt:
A Hybrid Evolutionary Approach for Solving the Traveling Thief Problem. ICCSA (2) 2017: 652-668 - [c9]Linus Krumrey, Mahdi Moeini, Oliver Wendt:
A Cash-Flow-Based Optimization Model for Corporate Cash Management: A Monte-Carlo Simulation Approach. ICCSAMA 2017: 34-46 - 2016
- [j5]Balal Karimi, Esmaile Khorram, Mahdi Moeini:
Identification of congestion by means of integer-valued data envelopment analysis. Comput. Ind. Eng. 98: 513-521 (2016) - [c8]Mahdi Moeini, Oliver Wendt, Linus Krumrey:
Portfolio Optimization by Means of a \chi -Armed Bandit Algorithm. ACIIDS (2) 2016: 620-629 - [c7]Mahdi Moeini, Oliver Wendt:
A Heuristic for Solving the Maximum Dispersion Problem. OR 2016: 405-410 - [c6]Mahdi Moeini, Daniel Schermer, Oliver Wendt:
Swarm of agents for guarding an Art Gallery: A computational study. SSCI 2016: 1-8 - 2015
- [j4]Mahdi Moeini, Zied Jemaï, Evren Sahin:
Location and relocation problems in the context of the emergency medical service systems: a case study. Central Eur. J. Oper. Res. 23(3): 641-658 (2015) - [c5]Mahdi Moeini:
The Maximum Ratio Clique Problem: A Continuous Optimization Approach and Some New Results. MCO (1) 2015: 215-227 - [c4]Mahdi Moeini, Balal Karimi, Esmaile Khorram:
A Cross-Efficiency Approach for Evaluating Decision Making Units in Presence of Undesirable Outputs. MCO (2) 2015: 487-498 - 2014
- [j3]Hoai An Le Thi, Mahdi Moeini:
Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm. J. Optim. Theory Appl. 161(1): 199-224 (2014) - [c3]Mahdi Moeini, Serigne Gueye, Sophie Michel Loyal:
A New Mathematical Model For the Minimum Linear Arrangement Problem. ICORES 2014: 57-62 - [c2]Serigne Gueye, Sophie Michel Loyal, Mahdi Moeini:
Adjacency Variables Formulation for the Minimum Linear Arrangement Problem. ICORES (Selected Papers) 2014: 95-107 - [i5]Mahdi Moeini, Zied Jemaï, Evren Sahin:
An Integer Programming Model for the Dynamic Location and Relocation of Emergency Vehicles: A Case Study. CoRR abs/1404.3285 (2014) - [i4]Mahdi Moeini:
A Continuous Optimization Approach for the Financial Portfolio Selection under Discrete Asset Choice Constraints. CoRR abs/1404.3286 (2014) - [i3]Hoai An Le Thi, Mahdi Moeini:
Portfolio Selection Under Buy-In Threshold Constraints Using DC Programming and DCA. CoRR abs/1404.3329 (2014) - [i2]Mahdi Moeini, Hoai An Le Thi:
A DC programming approach for constrained two-dimensional non-guillotine cutting problem. CoRR abs/1404.3330 (2014) - [i1]Maximilian Ernestus, Stephan Friedrichs, Michael Hemmer, Jan Kokemüller, Alexander Kröller, Mahdi Moeini, Christiane Schmidt:
Algorithms for Art Gallery Illumination. CoRR abs/1410.5952 (2014) - 2013
- [c1]Alexander Kröller, Mahdi Moeini, Christiane Schmidt:
A Novel Efficient Approach for Solving the Art Gallery Problem. WALCOM 2013: 5-16 - 2012
- [j2]Le Thi Hoai An, Mahdi Moeini, Tao Pham Dinh, Joaquim Júdice:
A DC programming approach for solving the symmetric Eigenvalue Complementarity Problem. Comput. Optim. Appl. 51(3): 1097-1117 (2012)
2000 – 2009
- 2009
- [j1]Hoai An Le Thi, Mahdi Moeini, Tao Pham Dinh:
Portfolio selection under downside risk measures and cardinality constraints based on DC programming and DCA. Comput. Manag. Sci. 6(4): 459-475 (2009)
Coauthor Index
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