Optimization Techniques for Problem Solving in Uncertainty

Optimization Techniques for Problem Solving in Uncertainty

Surafel Luleseged Tilahun (University of Zululand, South Africa) and Jean Medard T. Ngnotchouye (University of KwaZulu-Natal, South Africa)
Release Date: June, 2018|Copyright: © 2018 |Pages: 313
DOI: 10.4018/978-1-5225-5091-4
ISBN13: 9781522550914|ISBN10: 1522550917|EISBN13: 9781522550921
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Fuzzy Multilevel Programming
  • Fuzzy Optimization
  • Grey Multi-Objective Optimization
  • Grey Multilevel Programming
  • Metaheuristic Applications
  • Stochastic Optimization
  • Uncertain Preference
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