Optimization Techniques for Problem Solving in Uncertainty

By: Surafel Luleseged Tilahun (Editor), Jean Medard T. Ngnotchouye (Editor)

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Hardcover | 22 June 2018

At a Glance

Hardcover
332 Pages

Dimensions(cm)
25.4 x 17.78 x 1.91

Hardcover

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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.

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