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Search and Optimization by Metaheuristics

Techniques and Algorithms Inspired by Nature

Szerző: Ke-Lin Du, M N S Swamy

Nyelv:

Kötés: Puha kötésű

Kiadó: Birkhauser Verlag AG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

22 840 Ft

This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for sea...

Információk a könyvről

Szerző

Ke-Lin Du, M N S Swamy

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2018

oldal

434

EAN

9783319822907

ISBN

9783319822907

Enbook ID

19703875

Kiadó

Birkhauser Verlag AG

Súly

704

Méretek

232 x 157 x 35

Teljes leírás

This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary algorithms and other forms of natural computing. Over 100 different types of these methods are discussed in detail. The authors emphasize non-standard optimization problems and utilize a natural approach to the topic, moving from basic notions to more complex ones. 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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Leggyakrabban keresett

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Search and Optimization by Metaheuristics

Techniques and Algorithms Inspired by Nature

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