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Optimizing Engineering Problems through Heuristic Techniques

Kaushik Kumar

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Paperback / softback
30 September 2021
152 Pages
RRP: $115.99
$115.00
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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

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RRP: $115.99
$115.00
Hurry up! Current stock:

Optimizing Engineering Problems through Heuristic Techniques

RRP: $115.99
$115.00

Description

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

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