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Combinatorial Optimization Under Uncertainty

Real-Life Scenarios in Allocation Problems

Livre relié | Anglais | Advances in Metaheuristics
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Description

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.

Spécifications

Parties prenantes

Editeur:

Contenu

Nombre de pages :
206
Langue:
Anglais
Collection :

Caractéristiques

EAN:
9781032316581
Date de parution :
12-05-23
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
156 mm x 233 mm
Poids :
519 g

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