Advances in Metaheuristics for Hard Optimization
Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpos...
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oai:112.137.131.14:VNU_123-242682020-07-10T02:11:36Z Advances in Metaheuristics for Hard Optimization Siarry, Patrick Michalewicz, Zbigniew Mathematical optimization ; Heuristic programming 519.6 Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics. The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications. This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing. 2017-04-05T01:27:49Z 2017-04-05T01:27:49Z 2008 Book 9783540729600 http://repository.vnu.edu.vn/handle/VNU_123/24268 en 484 p. application/pdf Springer |
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Mathematical optimization ; Heuristic programming 519.6 |
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Mathematical optimization ; Heuristic programming 519.6 Advances in Metaheuristics for Hard Optimization |
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Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics.
The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications.
This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing. |
author2 |
Siarry, Patrick |
author_facet |
Siarry, Patrick |
format |
Book |
title |
Advances in Metaheuristics for Hard Optimization |
title_short |
Advances in Metaheuristics for Hard Optimization |
title_full |
Advances in Metaheuristics for Hard Optimization |
title_fullStr |
Advances in Metaheuristics for Hard Optimization |
title_full_unstemmed |
Advances in Metaheuristics for Hard Optimization |
title_sort |
advances in metaheuristics for hard optimization |
publisher |
Springer |
publishDate |
2017 |
url |
http://repository.vnu.edu.vn/handle/VNU_123/24268 |
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1680964957627219968 |