Combinatorial Optimization Under Uncertainty
eBook - ePub

Combinatorial Optimization Under Uncertainty

Real-Life Scenarios in Allocation Problems

  1. 206 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Combinatorial Optimization Under Uncertainty

Real-Life Scenarios in Allocation Problems

About this book

This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are other factors which affect and augment unpredictability in the market. The intent of this book is to develop mathematical structures for different aspects of allocation problems depicting real life scenarios. The novel methods which are incorporated in practical scenarios under uncertain circumstances include the STAR heuristic approach, Matrix geometric method, Ranking function and Pythagorean fuzzy numbers, to name a few. Distinct problems which are considered in this book under uncertainty include scheduling, cyclic bottleneck assignment problem, bilevel transportation problem, multi-index transportation problem, retrial queuing, uncertain matrix games, optimal production evaluation of cotton in different soil and water conditions, the healthcare sector, intuitionistic fuzzy quadratic programming problem, and multi-objective optimization problem. This book may serve as a valuable reference for researchers working in the domain of optimization for solving combinatorial problems under uncertainty. The contributions of this book may further help to explore new avenues leading toward multidisciplinary research discussions.

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Yes, you can access Combinatorial Optimization Under Uncertainty by Ritu Arora,Shalini Arora,Anand Kulkarni,Patrick Siarry,Anand J Kulkarni in PDF and/or ePUB format, as well as other popular books in Business & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. Chapter 1 Estimation of Uncertainties for Multiserver Queuing Systems with Bernoulli Feedback
  9. Chapter 2 Optimality for Fuzzy Transportation Problem under Ranking Method
  10. Chapter 3 Solution of Bilevel Linear Fractional Transportation Problem with Pythagorean Fuzzy Numbers
  11. Chapter 4 Optimal Production Evaluation of Cotton in Different Soil and Water Conditions in Sundarban of West Bengal under Hesitant Interval Fuzzy Environment Using Projection Measures
  12. Chapter 5 A Novel Approach for Feature Detection in Vector Graphics
  13. Chapter 6 On Uncertain Matrix Games Involving Linguistic Pythagorean Fuzzy Sets
  14. Chapter 7 Cyclic Surgery Scheduling using Variations of Cohort Intelligence
  15. Chapter 8 Cone Method for Uncertain Multiobjective Optimization Problems with Minmax Robustness
  16. Chapter 9 Solving Multi-Index Transportation Problem with Axial Constraints Having Impaired Flow
  17. Chapter 10 STAR Heuristic Method: A Novel Approach and Its Comparative Analysis with CI Algorithm to Solve CBAP in Healthcare
  18. Chapter 11 Development and Optimization of Quadratic Programming Problems with Intuitionistic Fuzzy Parameters
  19. Index