Optimization Techniques for Problem Solving in Uncertainty (Hardcover) (ISBN-13: 9781522550914)

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
ISBN-10: 1522550917
ISBN-13: 9781522550914
Publisher: Engineering Science Reference
Language: English
Published: 06/22/2018
Pages: 330
Format: Hardcover
Weight: 1.74lbs
Size: 10.00h x 7.00w x 0.75d