UID:
almahu_9949384574802882
Format:
1 online resource (xiv, 153 pages) :
,
illustrations (some color)
ISBN:
9780429053641
,
0429053649
,
9780429620744
,
0429620748
,
9780429622892
,
0429622899
,
9780429618598
,
042961859X
Series Statement:
Science, Technology, and Management series
Content:
This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations. Features Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management Presents various soft computing techniques Offers problems and their optimization using various soft computing techniques Discusses related software programs, with illustrations Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems
Note:
Chapter 1. Introduction to Optimization & Relevance of Soft Computing Techniques Towards Optimal Solution. Section 1: Optimization. 2. Various Soft Computing Techniques and their Description. Section 2: History of Heuristics / Search Algorithms. 3. Single Objective Optimization using Response Surface Methodology. 4. Multi Objective Optimization using Weighted Principal Component Analysis. 5. Single Objective Optimization using Taguchi Technique (Maximization). 6. Single Objective Optimization using Taguchi Technique (Minimization). 7. Multi-Objective Optimization using Grey-Taguchi Technique. 8. Single Objective Optimization using Taguchi Coupled Fuzzy Logic. 9. Multi-Objective Optimization using Non-Dominated Sorting Genetic Algorithm. 10. Single Objective Optimization using Artificial Bee Colony Algorithm. Section 3: Working with MINITAB and MATLAB. 11. Working with MINITAB for Optimization using Taguchi Technique. 12. Working with MATLAB for Optimization using Artificial Neural Network. 13. Working with MATLAB for Optimization using Genetic Algorithm.
Additional Edition:
Print version: Soft computing techniques for engineering optimization Boca Raton : CRC Press/Taylor & Francis Group, 2019. ISBN 9780367148614
Language:
English
Keywords:
Electronic books.
;
Electronic books.
DOI:
10.1201/9780429053641.
URL:
https://www.taylorfrancis.com/books/9780429053641
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