소장자료
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020 | ▼a9783031097263▼9978-3-031-09726-3▲ | ||
024 | 7 | ▼a10.1007/978-3-031-09726-3▼2doi▲ | |
050 | 4 | ▼aQA75.5-76.95▲ | |
082 | 0 | 4 | ▼a004.0151▼223▲ |
245 | 1 | 0 | ▼aAdvances in Swarm Intelligence▼h[electronic resource] :▼b13th International Conference, ICSI 2022, Xi'an, China, July 15–19, 2022, Proceedings, Part II /▼cedited by Ying Tan, Yuhui Shi, Ben Niu.▲ |
250 | ▼a1st ed. 2022.▲ | ||
264 | 1 | ▼aCham :▼bSpringer International Publishing :▼bImprint: Springer,▼c2022.▲ | |
300 | ▼aXXI, 454 p. 162 illus., 118 illus. in color.▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v13345▲ | |
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 second part cover topics such as: Swarm Robotics and Multi-agent System; Deep Neural Networks; Machine Learning; Data Mining; Other Optimization Applications; ICSI-OC’2022: 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.▲ | ||
650 | 0 | ▼aComputer science.▲ | |
650 | 0 | ▼aComputer engineering.▲ | |
650 | 0 | ▼aComputer networks .▲ | |
650 | 0 | ▼aMachine learning.▲ | |
650 | 0 | ▼aImage processing—Digital techniques.▲ | |
650 | 0 | ▼aComputer vision.▲ | |
650 | 0 | ▼aComputer science—Mathematics.▲ | |
650 | 1 | 4 | ▼aTheory of Computation.▲ |
650 | 2 | 4 | ▼aComputer Engineering and Networks.▲ |
650 | 2 | 4 | ▼aMachine Learning.▲ |
650 | 2 | 4 | ▼aComputer Imaging, Vision, Pattern Recognition and Graphics.▲ |
650 | 2 | 4 | ▼aMathematics of Computing.▲ |
700 | 1 | ▼aTan, Ying.▼eeditor.▼0(orcid)0000-0001-8243-4731▼1https://orcid.org/0000-0001-8243-4731▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aShi, Yuhui.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aNiu, Ben.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9783031097256▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9783031097270▲ |
830 | 0 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v13345▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-3-031-09726-3▲ |
Advances in Swarm Intelligence[electronic resource] : 13th International Conference, ICSI 2022, Xi'an, China, July 15–19, 2022, Proceedings, Part II
자료유형
국외eBook
서명/책임사항
Advances in Swarm Intelligence [electronic resource] : 13th International Conference, ICSI 2022, Xi'an, China, July 15–19, 2022, Proceedings, Part II / edited by Ying Tan, Yuhui Shi, Ben Niu.
판사항
1st ed. 2022.
형태사항
XXI, 454 p. 162 illus., 118 illus. in color. online resource.
총서사항
Lecture Notes in Computer Science , 1611-3349 ; 13345
Lecture Notes in Computer Science , 1611-3349 ; 13345
Lecture Notes in Computer Science , 1611-3349 ; 13345
내용주기
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.
요약주기
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 second part cover topics such as: Swarm Robotics and Multi-agent System; Deep Neural Networks; Machine Learning; Data Mining; Other Optimization Applications; ICSI-OC’2022: 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.
주제
Computer science.
Computer engineering.
Computer networks .
Machine learning.
Image processing—Digital techniques.
Computer vision.
Computer science—Mathematics.
Theory of Computation.
Computer Engineering and Networks.
Machine Learning.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Mathematics of Computing.
Computer engineering.
Computer networks .
Machine learning.
Image processing—Digital techniques.
Computer vision.
Computer science—Mathematics.
Theory of Computation.
Computer Engineering and Networks.
Machine Learning.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Mathematics of Computing.
ISBN
9783031097263
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