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020 _a9783031096778
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024 7 _a10.1007/978-3-031-09677-8
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082 0 4 _a004.0151
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245 1 0 _aAdvances in Swarm Intelligence
_h[electronic resource] :
_b13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part I /
_cedited by Ying Tan, Yuhui Shi, Ben Niu.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXVII, 548 p. 168 illus., 111 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13344
505 0 _aSwarm 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.
520 _aThis 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.
650 0 _aComputer science.
_99832
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aMachine learning.
_91831
650 0 _aComputer science
_xMathematics.
_93866
650 1 4 _aTheory of Computation.
_990031
650 2 4 _aComputer Engineering and Networks.
_990032
650 2 4 _aMachine Learning.
_91831
650 2 4 _aComputer Engineering and Networks.
_990032
650 2 4 _aMathematics of Computing.
_931875
700 1 _aTan, Ying.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_990033
700 1 _aShi, Yuhui.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_990034
700 1 _aNiu, Ben.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_990035
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031096761
776 0 8 _iPrinted edition:
_z9783031096785
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13344
_923263
856 4 0 _uhttps://doi.org/10.1007/978-3-031-09677-8
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