| Description |
1 online resource (362 pages) |
| Series |
Lecture Notes in Computer Science ; 12421 |
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LNCS sublibrary, SL 1, Theoretical Computer Science and General Issues |
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Lecture notes in computer science ; 12421.
|
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LNCS sublibrary. SL 1, Theoretical computer science and general issues.
|
| Contents |
Intro -- Preface -- Organization -- Contents -- Full Papers -- A Blockchain-Controlled Physical Robot Swarm Communicating via an Ad-Hoc Network -- 1 Introduction -- 2 Methods -- 2.1 Experimental Scenario -- 2.2 Control Routines -- 2.3 Blockchain Technology -- 2.4 Ad-Hoc Network -- 2.5 Experiment Setup and Evaluation -- 3 Results -- 3.1 Experiment 1: Increasing Byzantines -- 3.2 Experiment 2: Increasing Swarm Size (No Byzantine Robots) -- 3.3 Experiment 3: Increasing Swarm Size (20% Byzantines) -- 4 Conclusions -- References |
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A New Approach for Making Use of Negative Learning in Ant Colony Optimization -- 1 Introduction -- 2 The CapMDS Problem -- 3 Proposed Approach -- 3.1 Adding Negative Learning -- 4 Experimental Evaluation -- 5 Conclusions and Outlook -- References -- Ant Colony Optimization for Object-Oriented Unit Test Generation -- 1 Introduction -- 2 Related Work -- 3 TACO Algorithm -- 3.1 Problem Definition -- 3.2 Tier I: Goal Prioritization and Selection -- 3.3 Tier II: Test Program Synthesis -- 3.4 Tier III: Input Data Generation -- 4 Evaluation -- 5 Conclusion -- References |
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Branched Structure Formation in a Decentralized Flock of Wheeled Robots -- 1 Introduction -- 2 Model -- 3 Simulations -- 4 Physical Experiments -- 5 Conclusion -- References -- Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testing -- 1 Introduction -- 2 Problem Statement and Related Works -- 3 Distributed Bayesian Hypothesis Testing -- 4 Experiments -- 4.1 Finding the Optimal Sampling and Dissemination Interval -- 4.2 Comparison with Other Collective Perception Algorithms -- 4.3 Estimation Accuracy and Effects of Limiting Maximum Neighbors -- 5 Conclusion |
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Control Parameter Importance and Sensitivity Analysis of the Multi-Guide Particle Swarm Optimization Algorithm -- 1 Introduction -- 2 Background -- 2.1 Multi-Objective Optimization -- 2.2 Multi-Guide Particle Swarm Optimization -- 2.3 Stability Analysis -- 2.4 Functional Analysis of Variance -- 3 Experimental Procedure -- 4 Results -- 4.1 Variance in Predicted Objective Function Values -- 4.2 Response Surface Analysis -- 5 Conclusions -- References -- Dynamic Response Thresholds: Heterogeneous Ranges Allow Specialization While Mitigating Convergence to Sink States -- 1 Introduction |
| Summary |
This book constitutes the proceedings of the 12th International Conference on Swarm Intelligence, ANTS 2020, held online -due to COVID-19- in Barcelona Spain, in October 2020. The 20 full papers presented, together with 8 short papers and 5 extended abstracts were carefully reviewed and selected from 50 submissions. ANTS 2020 contributions are dealing with any aspect of swarm intelligence |
| Notes |
International conference proceedings |
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"The conference would have been held at the Spanish National Research Council (CSIC), Barcelona, Spain, but instead was held as an online conference due to the COVID-19 pandemic."--Preface |
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Includes author index |
| Bibliography |
Includes bibliographical references and author index |
| Notes |
Current copyright fee: GBP19.00 42\0. Uk |
|
Online resource; title from PDF title page (SpringerLink, viewed January 6, 2021) |
| Subject |
Swarm intelligence -- Congresses
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Swarm intelligence
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Algorithms
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Artificial intelligence
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Computer architecture
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Computer networks
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Numerical analysis
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Dorigo, Marco.
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Stützle, Thomas.
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Blesa, María J.
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Blum, Christian, 1972-
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Hamann, Heiko.
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Heinrich, Mary Katherine
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Strobel, Volker
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| ISBN |
9783030603762 |
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3030603768 |
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