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Record Nr. |
UNINA9910491028803321 |
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Titolo |
Advances in Swarm Intelligence : 12th International Conference, ICSI 2021, Qingdao, China, July 17–21, 2021, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (589 pages) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 12689 |
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Disciplina |
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Soggetti |
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Computer science |
Computer networks |
Computers, Special purpose |
Social sciences - Data processing |
Education - Data processing |
Artificial intelligence |
Theory of Computation |
Computer Communication Networks |
Special Purpose and Application-Based Systems |
Computer Application in Social and Behavioral Sciences |
Computers and Education |
Artificial Intelligence |
Intel·ligència artificial |
Congressos |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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Algorithm -- DNA Computing Methods. |
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Sommario/riassunto |
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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 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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