Optimization Techniques for Problem Solving in Uncertainty
Hardcover 313 pages English Jun 22, 2018
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Engineering Science Reference
Optimization Techniques for Problem Solving in Uncertainty
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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.
- Author:
- Surafel Luleseged Tilahun|Jean Medard T. Ngnotchouye, Surafel Luleseged Tilahun
- Publisher:
- IGI Global
- Publication Date:
- Jun 22, 2018
- Number of pages:
- 313 pages
- Language:
- English
- Binding:
- Hardcover
- ISBN-10:
- 1522550917
- ISBN-13:
- 9781522550914