Description: Search and Optimization by Metaheuristics Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Techniques and Algorithms Inspired by Nature Author(s): Ke-Lin Du, M. N. S. Swamy Format: Paperback Publisher: Birkhauser Verlag AG, Switzerland Imprint: Birkhauser Verlag AG ISBN-13: 9783319822907, 978-3319822907 Synopsis 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. Search 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.
Price: 44.38 GBP
Location: Aldershot
End Time: 2025-02-03T09:04:42.000Z
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Book Title: Search and Optimization by Metaheuristics
Number of Pages: 434 Pages
Language: English
Publication Name: Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature
Publisher: Birkhauser Verlag A&G
Publication Year: 2018
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 6847 g
Type: Textbook
Author: M. N. S. Swamy, Ke-Lin Du
Item Width: 155 mm
Format: Paperback
