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05251nam a22005895i 4500 |
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100301s2008 gw | s |||| 0|eng d |
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|9 978-3-540-72960-0
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|a 519.6
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|a Advances in Metaheuristics for Hard Optimization
|h [electronic resource] /
|c edited by Patrick Siarry, Zbigniew Michalewicz.
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| 250 |
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|a 1st ed. 2008.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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| 300 |
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|a XVI, 481 p. 167 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a Natural Computing Series,
|x 1619-7127
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|a Comparison of Simulated Annealing, Interval Partitioning and Hybrid Algorithms in Constrained Global Optimization -- Four-bar Mechanism Synthesis for n Desired Path Points Using Simulated Annealing -- “MOSS-II” Tabu/Scatter Search for Nonlinear Multiobjective Optimization -- Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search -- A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation -- An Ant-bidding Algorithm for Multistage Flowshop Scheduling Problem: Optimization and Phase Transitions -- Dynamic Load Balancing Using an Ant Colony Approach in Micro-cellular Mobile Communications Systems -- New Ways to Calibrate Evolutionary Algorithms -- Divide-and-Evolve: a Sequential Hybridization Strategy Using Evolutionary Algorithms -- Local Search Based on Genetic Algorithms -- Designing Efficient Evolutionary Algorithms for Cluster Optimization: A Study on Locality -- Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm -- Evolutionary Generation of Artificial Creature’s Personality for Ubiquitous Services -- Some Guidelines for Genetic Algorithm Implementation in MINLP Batch Plant Design Problems -- Coevolutionary Genetic Algorithm to Solve Economic Dispatch -- An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem -- Optimizing Stochastic Functions Using a Genetic Algorithm: An Aeronautic Military Application -- Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms -- Making a Difference to Differential Evolution -- Hidden Markov Models Training Using Population-based Metaheuristics -- Inequalities and Target Objectives for Metaheuristic Search – Part I: Mixed Binary Optimization.
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| 520 |
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|a 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.
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|a Mathematical optimization.
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|a Artificial intelligence.
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| 650 |
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|a Operations research.
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| 650 |
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|a Management science.
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| 650 |
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|a Engineering design.
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| 650 |
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|a Computers.
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|a Optimization.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M26008
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| 650 |
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|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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| 650 |
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|a Operations Research, Management Science.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/M26024
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| 650 |
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4 |
|a Engineering Design.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/T17020
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| 650 |
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|a Theory of Computation.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I16005
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| 700 |
1 |
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|a Siarry, Patrick.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Michalewicz, Zbigniew.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783540839293
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| 776 |
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|i Printed edition:
|z 9783642092060
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| 776 |
0 |
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|i Printed edition:
|z 9783540729594
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| 830 |
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|a Natural Computing Series,
|x 1619-7127
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| 856 |
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|u https://doi.org/10.1007/978-3-540-72960-0
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| 950 |
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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