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Optimization techniques for sustainable environment under uncertainty

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimization techniques for sustainable environment under uncertainty/ edited by Ritu Arora, Shalini Arora.
其他作者:	Arora, Shalini.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	ix, 173 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Optimization. -
電子資源:	https://doi.org/10.1007/978-981-96-0389-3
ISBN:	9789819603893

Optimization techniques for sustainable environment under uncertainty
Optimization techniques for sustainable environment under uncertainty[electronic resource] /edited by Ritu Arora, Shalini Arora. - Singapore :Springer Nature Singapore :2025. - ix, 173 p. :ill. (some col.), digital ;24 cm. - Engineering optimization: methods and applications,2731-4057. - Engineering optimization: methods and applications..

Dealing uncertainty of linear programming with intuitionistic fuzzy piecewise linear membership and non-membership functions -- Controllability Results for Second Order Neutral Impulsive Integrodifferential Systems -- An Empirical Study of Indian Passenger Airlines for Sustainable Performance: A Window DEA Approach -- Finite Buffer Reverse Balking Two Server Heterogeneous Service Queuing Model with Retention of Impatient Customers.

The book's objective is to develop mathematical structures that can be applied to real-life problems with sustainable goals. It focuses on the impact of sustainable living on social, economic, and environmental aspects, aiming to create optimization techniques that minimize emissions and maximize green energy. These optimization problems may include sustainable transport, cities, economic development, living, and tourism. The book brings together researchers, academics, and professionals from various fields to find optimal or satisfactory solutions for various environmentally friendly sustainable problems. It aims to achieve this not only with existing optimization techniques, but also with novel approaches such as lexicographic optimization, heuristic approaches, DEA, and genetic algorithms. The goal is to develop practical algorithms and methods applicable to these problems under uncertain circumstances and explore the potential for improving the efficiency of existing algorithms.

ISBN: 9789819603893

Standard No.: 10.1007/978-981-96-0389-3doiSubjects--Topical Terms:

669174
Optimization.

LC Class. No.: TA331

Dewey Class. No.: 620.00151

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