Search and Optimization by Metaheuristics Techniques and Algorithms Inspired by Nature
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- Hardcover
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Sprache:Englisch
59,99 €
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
31.05.2018
Abbildungen
XXI, 68 illus., 40 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Verlag
SpringerSeitenzahl
434
Maße (L/B/H)
23,5/15,5/2,5 cm
Gewicht
690 g
Auflage
Softcover reprint of the original 1st ed. 2016
Sprache
Englisch
ISBN
978-3-319-82290-7
An introductory chapter covers the necessary biological and mathematical backgrounds for understanding the main material. Subsequent chapters then explore almost all of the major metaheuristics for search and optimization created based on natural phenomena, including simulated annealing, recurrent neural networks, genetic algorithms and genetic programming, differential evolution, memetic algorithms, particle swarm optimization, artificial immune systems, ant colony optimization, tabu search and scatter search, bee and bacteria foraging algorithms, harmony search, biomolecular computing, quantum computing, and many others. General topics on dynamic, multimodal, constrained, and multiobjective optimizations are also described. Each chapter includes detailed flowcharts that illustrate specific algorithms and exercises that reinforce important topics. Introduced in the appendix are some benchmarks for the evaluation of metaheuristics.
Sea rch and Optimization by Metaheuristics is intended primarily as a textbook for graduate and advanced undergraduate students specializing in engineering and computer science. It will also serve as a valuable resource for scientists and researchers working in these areas, as well as those who are interested in search and optimization methods.
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