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Bioinspired Optimization Methods and Their Applications

9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Bogdan Filipič

    1. Jožef Stefan Institute, Ljubljana, Slovenia

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  2. Edmondo Minisci

    1. University of Strathclyde, Glasgow, UK

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  3. Massimiliano Vasile

    1. University of Strathclyde, Glasgow, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12438)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: BIOMA 2020.

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About this book

This book constitutes the refereed proceedings of the 9th International Conference on Bioinspired Optimization Methods and Their Applications, BIOMA 2020, held in Brussels, Belgium, in November 2020.

The 24 full papers presented in this book were carefully reviewed and selected from 68 submissions.

The papers in this BIOMA proceedings specialized in bioinspired algorithms as a means for solving the optimization problems and came in two categories: theoretical studies and methodology advancements on the one hand, and algorithm adjustments and their applications on the other.

Due to the Corona pandemic BIOMA 2020 was held as a virtual event.

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Table of contents (24 papers)

  1. Front Matter

    Pages i-xi
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  2. Theory and Methods

    1. Front Matter

      Pages 1-1
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    2. Synthetic vs. Real-World Continuous Landscapes: A Local Optima Networks View

      • Marco A. Contreras-Cruz, Gabriela Ochoa, Juan P. Ramirez-Paredes
      Pages 3-16

    3. Variable Response Duration Promotes Self-organization in Decentralized Swarms

      • Kaelan Engholdt, H. David Mathias, Annie S. Wu
      Pages 17-28

    4. Inflationary Differential Evolution for Constrained Multi-objective Optimisation Problems

      • Gianluca Filippi, Massimiliano Vasile
      Pages 29-42

    5. An Analysis of Phenotypic Diversity in Multi-solution Optimization

      • Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck
      Pages 43-55

    6. Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search

      • Yifan He, Claus Aranha, Tetsuya Sakurai
      Pages 56-68

    7. Refining the CC-RDG3 Algorithm with Increasing Population Scheme and Persistent Covariance Matrix

      • Dani Irawan, Margarita Antoniou, Boris Naujoks, Gregor Papa
      Pages 69-83

    8. Reinforcement Learning for N-player Games: The Importance of Final Adaptation

      • Wolfgang Konen, Samineh Bagheri
      Pages 84-96

    9. An Interactive Framework for Offline Data-Driven Multiobjective Optimization

      • Atanu Mazumdar, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen
      Pages 97-109

    10. Communication Optimization for Efficient Dynamic Task Allocation in Swarm Robotics

      • Nadia Nedjah, Luigi Maciel Ribeiro, Luiza de Macedo Mourelle
      Pages 110-124

    11. Migration Guided by a Performance Index in Heterogeneous Island Models

      • Rodrigo C. A. F. Pontes, Grasiele R. Duarte, Leonardo Goliatt
      Pages 125-134

    12. Bio-inspired Optimization Based on Biological Growth Method and Mesh Morphing Surface Sculpting

      • Stefano Porziani, Marco E. Biancolini
      Pages 135-147

    13. Understanding the Behavior of Reinforcement Learning Agents

      • Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
      Pages 148-160

    14. Time Series Encodings with Temporal Convolutional Networks

      • Markus Thill, Wolfgang Konen, Thomas Bäck
      Pages 161-173

  3. Algorithms and Applications

    1. Front Matter

      Pages 175-175
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    2. On Formulating the Ground Scheduling Problem as a Multi-objective Bilevel Problem

      • Margarita Antoniou, Gašper Petelin, Gregor Papa
      Pages 177-188

    3. Optimization of a Thermal Ice Protection System by Means of a Genetic Algorithm

      • Bárbara Arizmendi Gutiérrez, Alberto Della Noce, Mariachiara Gallia, Alberto Guardone
      Pages 189-200

    4. A Memetic Algorithm with Parallel Local Search for Flowshop Scheduling Problems

      • Pavel Borisovsky, Yulia Kovalenko
      Pages 201-213

    5. Optimizing Robotic Cheetah Leg Parameters Using Evolutionary Algorithms

      • Maxim Buzdalov, Sergey Kolyubin, Artem Egorov, Ivan Borisov
      Pages 214-227
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Other volumes

  1. Bioinspired Optimization Methods and Their Applications

Editors and Affiliations

  • Jožef Stefan Institute, Ljubljana, Slovenia

    Bogdan Filipič

  • University of Strathclyde, Glasgow, UK

    Edmondo Minisci, Massimiliano Vasile

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