04359nam 22007455 450 991058017260332120251225203448.03-031-09677-010.1007/978-3-031-09677-8(CKB)5840000000048045(MiAaPQ)EBC7021960(Au-PeEL)EBL7021960(PPN)263903303(BIP)84673593(BIP)84362200(DE-He213)978-3-031-09677-8(EXLCZ)99584000000004804520220625d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Swarm Intelligence 13th International Conference, ICSI 2022, Xi'an, China, July 15–19, 2022, Proceedings, Part I /edited by Ying Tan, Yuhui Shi, Ben Niu1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (553 pages)Lecture Notes in Computer Science,1611-3349 ;133443-031-09676-2 Includes bibliographical references and index.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.Lecture Notes in Computer Science,1611-3349 ;13344Computer scienceComputer engineeringComputer networksMachine learningComputer scienceMathematicsTheory of ComputationComputer Engineering and NetworksMachine LearningComputer Engineering and NetworksMathematics of ComputingComputer science.Computer engineering.Computer networks.Machine learning.Computer scienceMathematics.Theory of Computation.Computer Engineering and Networks.Machine Learning.Computer Engineering and Networks.Mathematics of Computing.006.3824006.3824Tan Ying1964-Shi YuhuiNiu BenMiAaPQMiAaPQMiAaPQBOOK9910580172603321Advances in Swarm Intelligence2005634UNINA