Search and Optimization by Metaheuristics

Techniques and Algorithms Inspired by Nature

Nonfiction, Computers, Advanced Computing, Computer Science, Programming, Science & Nature, Science
Cover of the book Search and Optimization by Metaheuristics by Ke-Lin Du, M. N. S. Swamy, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Ke-Lin Du, M. N. S. Swamy ISBN: 9783319411927
Publisher: Springer International Publishing Publication: July 20, 2016
Imprint: Birkhäuser Language: English
Author: Ke-Lin Du, M. N. S. Swamy
ISBN: 9783319411927
Publisher: Springer International Publishing
Publication: July 20, 2016
Imprint: Birkhäuser
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book How Good Policies and Business Ethics Enhance Good Quality of Life by Ke-Lin Du, M. N. S. Swamy
Cover of the book Literary Festivals and Contemporary Book Culture by Ke-Lin Du, M. N. S. Swamy
Cover of the book Real-Variable Theory of Musielak-Orlicz Hardy Spaces by Ke-Lin Du, M. N. S. Swamy
Cover of the book Systematic Approaches to Argument by Analogy by Ke-Lin Du, M. N. S. Swamy
Cover of the book Mutual Sustainability of Tubewell Farming and Aquifers by Ke-Lin Du, M. N. S. Swamy
Cover of the book Advances in MALDI and Laser-Induced Soft Ionization Mass Spectrometry by Ke-Lin Du, M. N. S. Swamy
Cover of the book An Introduction to Frames and Riesz Bases by Ke-Lin Du, M. N. S. Swamy
Cover of the book New Composite Materials by Ke-Lin Du, M. N. S. Swamy
Cover of the book Resisting Neoliberalism in Higher Education Volume I by Ke-Lin Du, M. N. S. Swamy
Cover of the book Constraint Solving and Planning with Picat by Ke-Lin Du, M. N. S. Swamy
Cover of the book Thermal Processing of Packaged Foods by Ke-Lin Du, M. N. S. Swamy
Cover of the book Computational Intelligence Methods for Bioinformatics and Biostatistics by Ke-Lin Du, M. N. S. Swamy
Cover of the book Information Technologies in Medicine by Ke-Lin Du, M. N. S. Swamy
Cover of the book Development of New Radical Cascades and Multi-Component Reactions by Ke-Lin Du, M. N. S. Swamy
Cover of the book Magna Carta and New Zealand by Ke-Lin Du, M. N. S. Swamy
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy