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ORCIDBIOMA 2020: Brussels, Belgium
- Bogdan Filipic
, Edmondo A. Minisci, Massimiliano Vasile:
Bioinspired Optimization Methods and Their Applications - 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19-20, 2020, Proceedings. Lecture Notes in Computer Science 12438, Springer 2020, ISBN 978-3-030-63709-5
Theory and Methods
- Marco A. Contreras-Cruz, Gabriela Ochoa, Juan-Pablo Ramirez-Paredes:
Synthetic vs. Real-World Continuous Landscapes: A Local Optima Networks View. 3-16 - Kaelan Engholdt, H. David Mathias, Annie S. Wu:
Variable Response Duration Promotes Self-organization in Decentralized Swarms. 17-28 - Gianluca Filippi, Massimiliano Vasile:
Inflationary Differential Evolution for Constrained Multi-objective Optimisation Problems. 29-42 - Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck:
An Analysis of Phenotypic Diversity in Multi-solution Optimization. 43-55 - Yifan He, Claus Aranha, Tetsuya Sakurai:
Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search. 56-68 - Dani Irawan, Margarita Antoniou, Boris Naujoks, Gregor Papa:
Refining the CC-RDG3 Algorithm with Increasing Population Scheme and Persistent Covariance Matrix. 69-83 - Wolfgang Konen, Samineh Bagheri:
Reinforcement Learning for N-player Games: The Importance of Final Adaptation. 84-96 - Atanu Mazumdar, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen:
An Interactive Framework for Offline Data-Driven Multiobjective Optimization. 97-109 - Nadia Nedjah, Luigi Maciel Ribeiro, Luiza de Macedo Mourelle:
Communication Optimization for Efficient Dynamic Task Allocation in Swarm Robotics. 110-124 - Rodrigo C. A. F. Pontes, Grasiele Regina Duarte, Leonardo Goliatt:
Migration Guided by a Performance Index in Heterogeneous Island Models. 125-134 - Stefano Porziani, Marco Evangelos Biancolini:
Bio-inspired Optimization Based on Biological Growth Method and Mesh Morphing Surface Sculpting. 135-147 - Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben:
Understanding the Behavior of Reinforcement Learning Agents. 148-160 - Markus Thill, Wolfgang Konen, Thomas Bäck:
Time Series Encodings with Temporal Convolutional Networks. 161-173
Algorithms and Applications
- Margarita Antoniou, Gasper Petelin, Gregor Papa:
On Formulating the Ground Scheduling Problem as a Multi-objective Bilevel Problem. 177-188 - Bárbara Arizmendi Gutiérrez, Alberto Della Noce, Mariachiara Gallia, Alberto Guardone:
Optimization of a Thermal Ice Protection System by Means of a Genetic Algorithm. 189-200 - Pavel A. Borisovsky, Yulia V. Kovalenko:
A Memetic Algorithm with Parallel Local Search for Flowshop Scheduling Problems. 201-213 - Maxim Buzdalov, Sergey A. Kolyubin, Artem A. Egorov, Ivan I. Borisov:
Optimizing Robotic Cheetah Leg Parameters Using Evolutionary Algorithms. 214-227 - Carolina Crespi, Georgia Fargetta, Mario Pavone, Rocco A. Scollo, Laura Scrimali:
A Game Theory Approach for Crowd Evacuation Modelling. 228-239 - Francesco Marchetti, Edmondo A. Minisci:
A Hybrid Neural Network-Genetic Programming Intelligent Control Approach. 240-254 - Alfeu D. Martinho, Celso B. M. Ribeiro, Yulia Gorodetskaya, Tales L. Fonseca, Leonardo Goliatt:
Extreme Learning Machine with Evolutionary Parameter Tuning Applied to Forecast the Daily Natural Flow at Cahora Bassa Dam, Mozambique. 255-267 - Alireza Mirshamsi, Simone Godio, Amin Nobakhti, Stefano Primatesta, Fabio Dovis, Giorgio Guglieri:
A 3D Path Planning Algorithm Based on PSO for Autonomous UAVs Navigation. 268-280 - Margarita Rebolledo, Ruxandra Stoean, A. E. Eiben, Thomas Bartz-Beielstein:
Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization. 281-293 - Susanne Rosenthal:
Diversity Promoting Strategies in a Multi- and Many-Objective Evolutionary Algorithm for Molecular Optimization. 294-307 - Aljosa Vodopija, Vito Janko, Mitja Lustrek, Bogdan Filipic:
Constrained Multiobjective Optimization for the Design of Energy-Efficient Context Recognition Systems. 308-320
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