Advances in Swarm Intelligence: 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I (Lecture Notes in Computer Science, 13968)
Advances in Swarm Intelligence: 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I (Lecture Notes in Computer Science, 13968)
This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14 th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”. The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the first part cover topics such Swarm Intelligence Computing; Swarm Intelligence Optimization Algorithms; Particle Swarm Optimization Algorithms; Genetic Algorithms; Optimization Computing Algorithms; Neural Network Search & Large-Scale Optimization; Multi-objective Optimization.
Language
English
Pages
515
Format
Paperback
Release
August 15, 2023
ISBN 13
9783031366215
Advances in Swarm Intelligence: 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I (Lecture Notes in Computer Science, 13968)
This two-volume set LNCS 13968 and 13969 constitutes the proceedings of the 14 th International Conference on Advances in Swarm Intelligence, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”. The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering major topics of swarm intelligence research and its development and applications. The papers of the first part cover topics such Swarm Intelligence Computing; Swarm Intelligence Optimization Algorithms; Particle Swarm Optimization Algorithms; Genetic Algorithms; Optimization Computing Algorithms; Neural Network Search & Large-Scale Optimization; Multi-objective Optimization.