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Optimization Techniques for Sustainable Environment Under Uncertainty

Ritu Arora, Shalini Arora (Herausgeber)

Buch | Hardcover
250 Seiten
2025
Springer (Verlag)
978-981--960388-6 (ISBN)
CHF 224,65 inkl. MwSt
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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.

Dr. Ritu Arora is a Professor in the Department of Mathematics at Keshav Mahavidyalaya, University of Delhi. She has over 20 years of teaching experience and earned her Masters and Ph.D. in Mathematics from the University of Delhi. Her research focuses on Mathematical Programming/Optimization and its application to various allocation problems. Dr. Arora is the author of the book "Linear Programming and Game Theory" Narosa Publications and has published over 25 research papers in reputable National and International Journals.

 

Dr. Shalini Arora is a Professor in the Department of Mathematics and Head of the Applied Sciences and Humanities Department at Indira Gandhi Delhi Technical University for Women (IGDTUW). With over 20 years of teaching experience, she completed her Master's and Ph.D. in Mathematics from IIT Delhi. Her research interests include Mathematical Programming, Allocation Problems such as Transportation and Assignment Problems, Combinatorial optimization, and more. Dr. Arora has published over 30 research papers in both International and national journals. She is a recipient of the 'Young Scientist Award' by the SERC division of DST.

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.-  Reckoning of optimal parameters of M/G/1 retrial model with active and passive breakdowns using optimization techniques.-  Fuzzy Random Multi-objective Quadratic Transportation Problem.-  A study on fuzzy set and its extensions.-  Mathematical programming for sustainable planning of agricultural products under Uncertainty.- Optimization in the New Age: Mathematical Pathways to Sustainable Futures.-  Cost Optimization of Post-Tensioned Concrete bridge using Social Mimic Optimization.- Optimization of Lead Rubber Bearings as Seismic Isolators in Structures Using Bayesian Adaptive Direct Search.-  Multi-Objective Routing Optimization of the Traveling Salesman Problem Using Feasibility-Enhanced Particle Swarm Optimization Algorithm.

 

Erscheint lt. Verlag 12.4.2025
Reihe/Serie Engineering Optimization: Methods and Applications
Zusatzinfo Approx. 250 p. 100 illus., 50 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Naturwissenschaften Biologie Ökologie / Naturschutz
Naturwissenschaften Geowissenschaften
Technik Architektur
Schlagworte allocation problems • DEA • fuzzy programming • Heuristic Approach • Optimization • sustainability • Transportation • Uncertainty
ISBN-10 981--960388-9 / 9819603889
ISBN-13 978-981--960388-6 / 9789819603886
Zustand Neuware
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