Search and Optimization by Metaheuristics

Search and Optimization by Metaheuristics
Author :
Publisher : Birkhäuser
Total Pages : 437
Release :
ISBN-10 : 9783319411927
ISBN-13 : 3319411926
Rating : 4/5 (926 Downloads)

Book Synopsis Search and Optimization by Metaheuristics by : Ke-Lin Du

Download or read book Search and Optimization by Metaheuristics written by Ke-Lin Du and published by Birkhäuser. This book was released on 2016-07-20 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Search and Optimization by Metaheuristics Related Books

Search and Optimization by Metaheuristics
Language: en
Pages: 437
Authors: Ke-Lin Du
Categories: Computers
Type: BOOK - Published: 2016-07-20 - Publisher: Birkhäuser

GET EBOOK

This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evoluti
Meta-Heuristics
Language: en
Pages: 513
Authors: Stefan Voß
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best paper
An Introduction to Metaheuristics for Optimization
Language: en
Pages:
Authors: Bastien Chopard
Categories: Computers
Type: BOOK - Published: 2019-01-11 - Publisher: Springer

GET EBOOK

The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems.
Metaheuristics
Language: en
Pages: 409
Authors: Karl F. Doerner
Categories: Mathematics
Type: BOOK - Published: 2007-08-13 - Publisher: Springer Science & Business Media

GET EBOOK

This book’s aim is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles f
Metaheuristic Search Concepts
Language: en
Pages: 315
Authors: Günther Zäpfel
Categories: Business & Economics
Type: BOOK - Published: 2010-03-10 - Publisher: Springer Science & Business Media

GET EBOOK

In many decision problems, e.g. from the area of production and logistics manage ment, the evaluation of alternatives and the determination of an optimal or at