Download the fantastic book titled Optimization Techniques for Problem Solving in Uncertainty written by Tilahun, Surafel Luleseged, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Optimization Techniques for Problem Solving in Uncertainty", which was released on 22 June 2018. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Optimization Techniques for Problem Solving in Uncertainty by Tilahun, Surafel Luleseged PDF
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.
Detail About Optimization Techniques for Problem Solving in Uncertainty PDF
- Author : Tilahun, Surafel Luleseged
- Publisher : IGI Global
- Genre : Computers
- Total Pages : 313 pages
- ISBN : 1522550925
- Release Date : 22 June 2018
- PDF File Size : 38,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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