ABSTRACT

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of heuristic techniques with relevance to engineering problems and achieving optimal solutions.

Features

  • Explains the concept of optimization and the relevance of using heuristic techniques for optimal solutions in engineering problems
  • Illustrates the various heuristics techniques
  • Describes evolutionary heuristic techniques like genetic algorithm and particle swarm optimization
  • Contains natural based techniques like ant colony optimization, bee algorithm, firefly optimization, and cuckoo search
  • Offers sample problems and their optimization, using various heuristic techniques

section Section I|10 pages

Introduction to Heuristic Optimization

chapter 1|7 pages

Optimization Using Heuristic Search

An Introduction

section Section II|60 pages

Description of Heuristic Optimization Techniques

part I|20 pages

Evolutionary Techniques

chapter 2|9 pages

Genetic Algorithm

chapter 3|10 pages

Particle Swarm Optimization Algorithm

part II|39 pages

Nature-Based Techniques

chapter 4|9 pages

Ant Colony Optimization

chapter 5|8 pages

Bees Algorithm

chapter 6|9 pages

Firefly Algorithm

chapter 7|9 pages

Cuckoo Search Algorithm

section Section III|49 pages

Application of Heuristic Techniques Toward Engineering Problems