Advances in Swarm Intelligence

Advances in Swarm Intelligence: 12th International Conference, ICSI 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part I

by Shi, Yuhui Tan, Ying

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His 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 Evolut…

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Title Statements

  • Full title :Advances in Swarm Intelligence : 12th International Conference, ICSI 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part I / Ying Tan [edit.]; Yuhui Shi [edit.]

Summary

His 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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Edition Statements

  • Publication Date:2021

Publication Statements

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9783030787431, 3030787435, 9783030787448, 3030787443, 9783030787424, 3030787427
  • DOI:10.1007/978-3-030-78743-1
  • oclc:on1346730195

Table of Contents

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.

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