Optimization Techniques for Problem Solving in Uncertainty
Author | : Tilahun, Surafel Luleseged |
Publisher | : IGI Global |
Total Pages | : 327 |
Release | : 2018-06-22 |
ISBN-10 | : 9781522550921 |
ISBN-13 | : 1522550925 |
Rating | : 4/5 (925 Downloads) |
Download or read book Optimization Techniques for Problem Solving in Uncertainty written by Tilahun, Surafel Luleseged and published by IGI Global. This book was released on 2018-06-22 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.