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Record Nr. |
UNINA9910484592303321 |
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Titolo |
Advanced Engineering Optimization Through Intelligent Techniques : Select Proceedings of AEOTIT 2018 / / edited by R. Venkata Rao, Jan Taler |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XVIII, 861 p. 349 illus., 239 illus. in color.) |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5357 ; ; 949 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Control engineering |
Robotics |
Mechatronics |
Computational Intelligence |
Artificial Intelligence |
Control, Robotics, Mechatronics |
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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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1. Applications of Advanced Optimization Techniques in Computer Science and Engineering -- 2. Applications of Advanced Optimization Techniques in Electrical Engineering -- 3. Applications of Advanced Optimization Techniques in Civil and Structural Engineering -- 4. Applications of Advanced Optimization Techniques in Mechanical Engineering -- 5. Applications of Advanced Optimization Techniques in Industrial and Manufacturing Engineering -- 6. Applications of Advanced Optimization Techniques in Electronics Engineering -- 7. Applications of Advanced Optimization Techniques in Chemical Engineering -- 8. Applications of Advanced Optimization Techniques in Biotechnology -- 9. Applications of Advanced Optimization Techniques in Interdisciplinary Fields. |
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Sommario/riassunto |
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This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines |
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contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems. . |
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