Search and Optimization by Metaheuristics is popular PDF and ePub book, written by Ke-Lin Du in 2016-07-20, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Search and Optimization by Metaheuristics can be Read Online from any device for your convenience.

Search and Optimization by Metaheuristics Book PDF Summary

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.

Detail Book of Search and Optimization by Metaheuristics PDF

Search and Optimization by Metaheuristics
  • Author : Ke-Lin Du
  • Release : 20 July 2016
  • Publisher : Birkhäuser
  • ISBN : 9783319411927
  • Genre : Computers
  • Total Page : 437 pages
  • Language : English
  • PDF File Size : 11,8 Mb

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Metaheuristics for Hard Optimization

Metaheuristics for Hard Optimization Author : Johann Dréo,Alain Pétrowski,Patrick Siarry,Eric Taillard
Publisher : Springer Science & Business Media
File Size : 17,6 Mb
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Contains case studies from engineering and operations research Includes commented literature for eac...