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Advances in swarm intelligence : 12th International Conference, ICSI 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part I / Ying Tan, Yuhui Shi (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12689. | LNCS sublibrary. SL 1, Theoretical computer science and general issues.Publication details: Cham, Switzerland : Springer, 2021.Description: 1 online resource (589 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030787431
  • 3030787435
Other title:
  • ICSI 2021
Subject(s): Genre/Form: Additional physical formats: Print version:: Advances in Swarm Intelligence.DDC classification:
  • 006.3/824 23
LOC classification:
  • Q337.3 .I28 2021eb
Online resources:
Contents:
Intro -- Preface -- Organization -- Contents -- Part I -- Contents -- Part II -- Swarm Intelligence and Nature-Inspired Computing -- Swarm Unit Digital Control System Simulation -- 1 Introduction -- 2 Features of Von Neumann Computer Control -- 3 Semi-Markov Model of DC Operation -- 4 Example of Control System Analysis -- 5 Conclusion -- References -- Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams -- 1 Introduction -- 2 Related Work -- 2.1 Multi-agent Reinforcement Learning -- 2.2 Multi-agent Environments -- 3 Method
3.1 Modeling Observation of Opponents -- 3.2 Modeling Interactions with Teammates -- 3.3 Policy -- 3.4 Scalability and Real World Applicability -- 3.5 Training -- 4 Environment -- 4.1 Observation Space -- 4.2 Action Space -- 4.3 Reward Structure -- 5 Results -- 5.1 Evolution of Strategies -- 5.2 Being Attentive -- 5.3 Ensemble Strategies -- 6 Conclusions -- References -- Analysis of Security Problems in Groups of Intelligent Sensors -- 1 Introduction -- 2 Analysis of Information Security Problems of the Internet of Things as a Group with Swarm Intelligence -- 3 Exploitation Vulnerabilities
4 Internet of Things and Lightweight Cryptography -- 5 The Tiny Encryption Algorithm Cipher Description -- 6 Speck Cipher Description -- 7 Experimental Research of Encryption Algorithms -- 8 Conclusion -- References -- Optimization of a High-Lift Mechanism Motion Generation Synthesis Using MHS -- 1 Introduction -- 2 High-Lift Mechanism -- 3 Optimization Problem and Constraint Handling -- 4 The Design Results -- 5 Conclusion and Discussion -- References -- Liminal Tones: Swarm Aesthetics and Materiality in Sound Art -- 1 Introduction -- 2 Methods -- 2.1 Concept -- 2.2 Model -- 3 Results
4 Discussion and Future Works -- 4.1 Order and Chaos -- Sound as Emergence -- 4.2 Future Works -- References -- Study on the Random Factor of Firefly Algorithm -- 1 Introduction -- 2 Review of FA -- 2.1 Algorithm Idea -- 2.2 Model Analysis of FA -- 3 Research on the Random Factor Control Method of FA -- 3.1 Problem Analysis -- 3.2 New Control Method for the Random Factor -- 4 Experimental Results -- 4.1 Experiment Design -- 4.2 Results Analysis -- 4.3 Comparison with Other Decreasing Control Methods -- 4.4 Performance Comparison with Other Swarm Intelligence Algorithms -- 5 Conclusion
Summary: This two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.
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"The Twelfth International International Conference on Swarm Intelligence (ICSI 2021) held during July 17-21, 2021, in Qingdao, China, both on-site and online"--Preface

Intro -- Preface -- Organization -- Contents -- Part I -- Contents -- Part II -- Swarm Intelligence and Nature-Inspired Computing -- Swarm Unit Digital Control System Simulation -- 1 Introduction -- 2 Features of Von Neumann Computer Control -- 3 Semi-Markov Model of DC Operation -- 4 Example of Control System Analysis -- 5 Conclusion -- References -- Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams -- 1 Introduction -- 2 Related Work -- 2.1 Multi-agent Reinforcement Learning -- 2.2 Multi-agent Environments -- 3 Method

3.1 Modeling Observation of Opponents -- 3.2 Modeling Interactions with Teammates -- 3.3 Policy -- 3.4 Scalability and Real World Applicability -- 3.5 Training -- 4 Environment -- 4.1 Observation Space -- 4.2 Action Space -- 4.3 Reward Structure -- 5 Results -- 5.1 Evolution of Strategies -- 5.2 Being Attentive -- 5.3 Ensemble Strategies -- 6 Conclusions -- References -- Analysis of Security Problems in Groups of Intelligent Sensors -- 1 Introduction -- 2 Analysis of Information Security Problems of the Internet of Things as a Group with Swarm Intelligence -- 3 Exploitation Vulnerabilities

4 Internet of Things and Lightweight Cryptography -- 5 The Tiny Encryption Algorithm Cipher Description -- 6 Speck Cipher Description -- 7 Experimental Research of Encryption Algorithms -- 8 Conclusion -- References -- Optimization of a High-Lift Mechanism Motion Generation Synthesis Using MHS -- 1 Introduction -- 2 High-Lift Mechanism -- 3 Optimization Problem and Constraint Handling -- 4 The Design Results -- 5 Conclusion and Discussion -- References -- Liminal Tones: Swarm Aesthetics and Materiality in Sound Art -- 1 Introduction -- 2 Methods -- 2.1 Concept -- 2.2 Model -- 3 Results

4 Discussion and Future Works -- 4.1 Order and Chaos -- Sound as Emergence -- 4.2 Future Works -- References -- Study on the Random Factor of Firefly Algorithm -- 1 Introduction -- 2 Review of FA -- 2.1 Algorithm Idea -- 2.2 Model Analysis of FA -- 3 Research on the Random Factor Control Method of FA -- 3.1 Problem Analysis -- 3.2 New Control Method for the Random Factor -- 4 Experimental Results -- 4.1 Experiment Design -- 4.2 Results Analysis -- 4.3 Comparison with Other Decreasing Control Methods -- 4.4 Performance Comparison with Other Swarm Intelligence Algorithms -- 5 Conclusion

References-Metaheuristic Optimization on Tensor-Type Solution via Swarm Intelligence and Its Application in the Profit Optimization in Designing Selling Scheme-1 Introduction-2 A Brief Review of PSO and SIB-3 Method and Implementation-4 Applications-5 Conclusion-References-An Improved Dragonfly Algorithm Based on Angle Modulation Mechanism for Solving 0-1 Knapsack Problems-1 Introduction-2 Dragonfly Algorithm-3 Improved Angle Modulated Dragonfly Algorithm (IAMDA)-3.1 AMDA-3.2 IAMDA-4 Experimental Results and Discussion-5 Conclusions-References.

A Novel Physarum-Based Optimization Algorithm for Shortest Path.

Includes author index.

This two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.

Online resource; title from PDF title page (SpringerLink, viewed July 20, 2021).

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