Nature-inspired optimization algorithms

Nature-inspired optimization algorithms

by Yang, Xin-She

Type Book
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Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower a…

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Title Statements

  • Full title :Nature-inspired optimization algorithms / Xin-She Yang.

Summary

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literatureProvides a theoretical understanding as well as practical implementation hintsProvides a step-by-step introduction to eachalgorithm.

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Edition Statements

  • Publication Date:2014.
  • Edition:1st ed

Publication Statements

  • Publisher(s):Elsevier
  • Place of Publication:London
  • Language:eng
  • Publication Date:2014.

Notes

Titre de l'écran-titre (visionné le 4 juin 2014).

TRAITEMENT SOMMAIRE.

The Physical Object

  • Description:1 ressource en ligne.

Edition Identifiers

  • ISBN:9780124167452, 0124167454
  • oclc:ocn877858382
  • LC Classification:QA402.5
  • Dewey Decimal:519.6

Table of Contents

Half Title; Title Page; Copyright; Contents; Preface; 1 Introduction to Algorithms; 1.1 What is an Algorithm?; 1.2 Newton's Method; 1.3 Optimization; 1.3.1 Gradient-Based Algorithms; 1.3.2 Hill Climbing with Random Restart; 1.4 Search for Optimality; 1.5 No-Free-Lunch Theorems; 1.5.1 NFL Theorems; 1.5.2 Choice of Algorithms; 1.6 Nature-Inspired Metaheuristics; 1.7 A Brief History of Metaheuristics; References; 2 Analysis of Algorithms; 2.1 Introduction; 2.2 Analysis of Optimization Algorithms; 2.2.1 Algorithm as anIterative Process; 2.2.2 An Ideal Algorithm?; 2.2.3 A Self-Organization System.

2.2.4 Exploration and Exploitation2.2.5 Evolutionary Operators; 2.3 Nature-Inspired Algorithms; 2.3.1 Simulated Annealing; 2.3.2 Genetic Algorithms; 2.3.3 Differential Evolution; 2.3.4 Ant and Bee Algorithms; 2.3.5 Particle Swarm Optimization; 2.3.6 The Firefly Algorithm; 2.3.7 Cuckoo Search; 2.3.8 The Bat Algorithm; 2.3.9 Harmony Search; 2.3.10 The Flower Algorithm; 2.3.11 Other Algorithms; 2.4 Parameter Tuning and Parameter Control; 2.4.1 Parameter Tuning; 2.4.2 Hyperoptimization; 2.4.3 Multiobjective View; 2.4.4Parameter Control; 2.5 Discussions; 2.6 Summary; References.

3 Random Walks a…

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Subjects

Algorithmes ALGORITHMS e-books Livres électroniques Livres numériques Mathematical optimization Nature -- Mathematics Nature -- Mathématiques Optimisation mathématique

Writers

Yang, Xin-She

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