Swarm Intelligence: 13th International Conference, ANTS 2022, Málaga, Spain, November 2–4, 2022, Proceedings | SpringerLink
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Swarm Intelligence

13th International Conference, ANTS 2022, Málaga, Spain, November 2–4, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Marco Dorigo

    1. Université Libre de Bruxelles, Brussels, Belgium

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  2. Heiko Hamann

    1. University of Lübeck, Lübeck, Germany

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  3. Manuel López-Ibáñez

    1. University of Manchester, Manchester, UK

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  4. José García-Nieto

    1. University of Málaga, Málaga, Spain

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  5. Andries Engelbrecht

    1. Stellenbosch University, Stellenbosch, South Africa

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  6. Carlo Pinciroli

    1. Worcester Polytechnic Institute, Worcester, USA

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  7. Volker Strobel

    1. Université Libre de Bruxelles, Brussels, Belgium

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  8. Christian Camacho-Villalón

    1. Université Libre de Bruxelles, Brussels, Belgium

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13491)

Included in the following conference series:

Conference proceedings info: ANTS 2022.

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About this book

This book constitutes the proceedings of the 13th International Conference on Swarm Intelligence, ANTS 2022, held in Málaga, Spain, in November 2022. 

The 19 full papers presented, together with 14 short papers and 4 extended abstracts were carefully reviewed and selected from 45 submissions. ANTS 2022 contributions are dealing with any aspect of swarm intelligence such as behavioral models of social insects, empirical and theoretical research in swarm intelligence, application of swarm intelligence methods, and much more.


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Table of contents (34 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. A Geometry-Sensitive Quorum Sensing Algorithm for the Best-of-N Site Selection Problem

    • Grace Cai, Nancy Lynch
    Pages 1-13

  3. An Approach Based on Particle Swarm Optimization for Inspection of Spacecraft Hulls by a Swarm of Miniaturized Robots

    • Bahar Haghighat, Johannes Boghaert, Zev Minsky-Primus, Julia Ebert, Fanghzheng Liu, Martin Nisser et al.
    Pages 14-27

  4. Automatic Design of Multi-objective Particle Swarm Optimizers

    • Daniel Doblas, Antonio J. Nebro, Manuel López-Ibáñez, José García-Nieto, Carlos A. Coello Coello
    Pages 28-40

  5. Automatic Extraction of Understandable Controllers from Video Observations of Swarm Behaviors

    • Khulud Alharthi, Zahraa S. Abdallah, Sabine Hauert
    Pages 41-53

  6. Benchmarking Performances of Collective Decision-Making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation

    • Qihao Shan, Sanaz Mostaghim
    Pages 54-65

  7. Best-of-N Collective Decisions on a Hierarchy

    • Fabio Oddi, Andrea Cristofaro, Vito Trianni
    Pages 66-78

  8. Collective Decision-Making for Conflict Resolution in Multi-Agent Pathfinding

    • Sebastian Mai, Sanaz Mostaghim
    Pages 79-90

  9. Controlling Robot Swarm Aggregation Through a Minority of Informed Robots

    • Antoine Sion, Andreagiovanni Reina, Mauro Birattari, Elio Tuci
    Pages 91-103

  10. Decentralized Multi-Agent Path Finding in Warehouse Environments for Fleets of Mobile Robots with Limited Communication Range

    • Abderraouf Maoudj, Anders Lyhne Christensen
    Pages 104-116

  11. Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping

    • Alanna McNulty, Beatrice Ombuki-Berman, Andries Engelbrecht
    Pages 117-129

  12. Dynamic Spatial Guided Multi-Guide Particle Swarm Optimization Algorithm for Many-Objective Optimization

    • Weka Steyn, Andries Engelbrecht
    Pages 130-141

  13. Extracting Symbolic Models of Collective Behaviors with Graph Neural Networks and Macro-Micro Evolution

    • Stephen Powers, Joshua Smith, Carlo Pinciroli
    Pages 142-154

  14. Learning Resilient Swarm Behaviors via Ongoing Evolution

    • Aadesh Neupane, Michael A. Goodrich
    Pages 155-170

  15. Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments

    • Giray Önür, Ali Emre Turgut, Erol Şahin
    Pages 171-182

  16. Moving Mixtures of Active and Passive Elements with Robots that Do Not Compute

    • Gopesh Yadav Dosieah, Anıl Özdemir, Melvin Gauci, Roderich Groß
    Pages 183-195

  17. Real-Time Coordination of a Foraging Robot Swarm Using Blockchain Smart Contracts

    • Alexandre Pacheco, Volker Strobel, Andreagiovanni Reina, Marco Dorigo
    Pages 196-208

  18. Robot Swarms Break Decision Deadlocks in Collective Perception Through Cross-Inhibition

    • Raina Zakir, Marco Dorigo, Andreagiovanni Reina
    Pages 209-221

  19. Self-organized Chain Formation of Nano-Drones in an Open Space

    • Agata Barciś, Michał Barciś, Enrico Natalizio, Eliseo Ferrante
    Pages 222-233

  20. The Hidden Benefits of Limited Communication and Slow Sensing in Collective Monitoring of Dynamic Environments

    • Till Aust, Mohamed S. Talamali, Marco Dorigo, Heiko Hamann, Andreagiovanni Reina
    Pages 234-247
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Other volumes

  1. Swarm Intelligence

Editors and Affiliations

  • Université Libre de Bruxelles, Brussels, Belgium

    Marco Dorigo, Volker Strobel, Christian Camacho-Villalón

  • University of Lübeck, Lübeck, Germany

    Heiko Hamann

  • University of Manchester, Manchester, UK

    Manuel López-Ibáñez

  • University of Málaga, Málaga, Spain

    José García-Nieto

  • Stellenbosch University, Stellenbosch, South Africa

    Andries Engelbrecht

  • Worcester Polytechnic Institute, Worcester, USA

    Carlo Pinciroli

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