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Combinatorial Optimization Under Uncertainty

- Real-Life Scenarios in Allocation Problems
Engelsk Hardback

Combinatorial Optimization Under Uncertainty

- Real-Life Scenarios in Allocation Problems
Engelsk Hardback
Tjek vores konkurrenters priser

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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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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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 206
ISBN-13: 9781032316581
Indbinding: Hardback
Udgave:
ISBN-10: 1032316586
Kategori: Opslagsværker
Udg. Dato: 12 maj 2023
Længde: 23mm
Bredde: 242mm
Højde: 159mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 12 maj 2023
Forfatter(e):
Forfatter(e)

Kategori Opslagsværker

ISBN-13 9781032316581

Sprog Engelsk

Indbinding Hardback

Sider 206

Udgave

Længde 23mm

Bredde 242mm

Højde 159mm

Udg. Dato 12 maj 2023

Oplagsdato 12 maj 2023

Forlag Taylor & Francis Ltd

Kategori sammenhænge