logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Combinatorial Optimization Under Uncertainty Reallife Scenarios In Allocation Problems Ritu Arora

  • SKU: BELL-50418864
Combinatorial Optimization Under Uncertainty Reallife Scenarios In Allocation Problems Ritu Arora
$ 31.00 $ 45.00 (-31%)

4.0

36 reviews

Combinatorial Optimization Under Uncertainty Reallife Scenarios In Allocation Problems Ritu Arora instant download after payment.

Publisher: Advances in Metaheuristics
File Extension: PDF
File size: 13.34 MB
Pages: 221
Author: Ritu Arora, Shalini Arora, Anand Kulkarni, Patrick Siarry
ISBN: 9781032316581, 1032316586
Language: English
Year: 2023

Product desciption

Combinatorial Optimization Under Uncertainty Reallife Scenarios In Allocation Problems Ritu Arora by Ritu Arora, Shalini Arora, Anand Kulkarni, Patrick Siarry 9781032316581, 1032316586 instant download after payment.

The book intends to discuss the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solution/s for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are another factor which affects and augments unpredictability in the market. The intent of this edited book is to develop mathematical structure for different aspects of allocation problem depicting real life scenarios. The novel methods which are incorporated in practical scenarios under uncertain circumstances include STAR heuristic approach, Matrix geometric method, Ranking function, Pythagorean fuzzy numbers, to name a few. Distinct problems which are considered in this book under uncertainty includes, 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, healthcare sector, intuitionistic fuzzy quadratic programming problem, multi-objective optimization problem. The book may serve as a valuable reference for the researchers working in the domain of optimization for solving combinatorial problems under uncertainty. The contributions of the book may further help to explore new avenues leading toward multidisciplinary research discussions.

Related Products