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Advances in swarm intelligence = 13t...

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Advances in swarm intelligence = 13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022 : proceedings.. Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in swarm intelligence/ edited by Ying Tan, Yuhui Shi, Ben Niu.
其他題名:	13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022 : proceedings.
其他題名:	ICSI 2022
其他作者:	Tan, Ying.
團體作者:	ICSI (Conference)
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xvii, 548 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Swarm Intelligence and Nature-Inspired Computing -- Swarm-based Computing Algorithms for Optimization -- 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 -- Swarm Robotics and Multi-agent System -- Deep Neural Networks; Machine Learning; Data Mining -- Other Optimization Applications -- Competition on Single Objective Bounded Optimization Problems -- Swarm Intelligence and Nature-Inspired Computing -- Swarm-based Computing Algorithms for Optimization -- Particle Swarm Optimization; Ant Colony Optimization -- Genetic Algorithm and Evolutionary Computation -- Fireworks Algorithms -- Brain Storm Optimization Algorithm; Swarm Intelligence Approach-based Applications -- Multi-Objective Optimization.
Contained By:	Springer Nature eBook
標題:	Swarm intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-09677-8
ISBN:	9783031096778

Advances in swarm intelligence = 13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022 : proceedings.. Part I /
Advances in swarm intelligence13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022 : proceedings.Part I /[electronic resource] :ICSI 2022edited by Ying Tan, Yuhui Shi, Ben Niu. - Cham :Springer International Publishing :2022. - xvii, 548 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,133440302-9743 ;. - Lecture notes in computer science ;13344..

Swarm Intelligence and Nature-Inspired Computing -- Swarm-based Computing Algorithms for Optimization -- 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 -- Swarm Robotics and Multi-agent System -- Deep Neural Networks; Machine Learning; Data Mining -- Other Optimization Applications -- Competition on Single Objective Bounded Optimization Problems -- Swarm Intelligence and Nature-Inspired Computing -- Swarm-based Computing Algorithms for Optimization -- Particle Swarm Optimization; Ant Colony Optimization -- Genetic Algorithm and Evolutionary Computation -- Fireworks Algorithms -- Brain Storm Optimization Algorithm; Swarm Intelligence Approach-based Applications -- Multi-Objective Optimization.

This two-volume set LNCS 13344 and 13345 constitutes the proceedings of the 13th International Conference on Advances in Swarm Intelligence, ICSI 2022, which took place in Xi'an, China, in July 2022. The theme of this year's conference was "Serving Life with Swarm Intelligence". The 85 full papers presented were carefully reviewed and selected from 171 submissions. The papers of the first part 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.

ISBN: 9783031096778

Standard No.: 10.1007/978-3-031-09677-8doiSubjects--Topical Terms:

770700
Swarm intelligence
--Congresses.

LC Class. No.: Q337.3 / .I28 2022

Dewey Class. No.: 006.3824

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