Combinatorial Optimization Under Uncertainty

Real-life Scenarios in Allocation Problems

Arora, RituEditeurArora, ShaliniEditeurKulkarni, AnandEditeurSiarry, PatrickEditeur

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Description

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.

Détails

ISBN/GTIN978-1-032-31658-1

Type de produitLivre

ReliureRelié

ÉditeurTaylor and FrancisCRC Press

Date de parution12.05.2023

SérieAdvances in Metaheuristics

Pages206 pages

LangueAnglais

DimensionsLargeur 156 mm, Hauteur 234 mm

Poids520 g

IllustrationsFarb., s/w. Abb.

N° article43974604

CataloguesBuchzentrum

Source des données n°42558852

Plus de détails

Série

Handbook of AI-based Metaheuristics

Constraint Handling in Cohort Intelligence Algorithm

Hybrid Genetic Optimization for IC Chips Thermal Control

Handbook of Moth-Flame Optimization Algorithm

Combinatorial Optimization Under Uncertainty

AI-Based Metaheuristics for Information Security and Digital Media

Metaheuristics for Enterprise Data Intelligence

Graph Coloring

Constraint Handling in Cohort Intelligence Algorithm

Handbook of AI-based Metaheuristics

Hybrid Genetic Optimization for IC Chips Thermal Control

Metaheuristic Algorithms in Industry 4.0

Automatic Generation Of Algorithms

Auteur

Arora, RituEditeurArora, ShaliniEditeurKulkarni, AnandEditeurSiarry, PatrickEditeur

Dr. Ritu Arora received her Ph.D degree from University of Delhi, India. She has a teaching experience of 20 years in University of Delhi. Her research specialization is in the field of mathematical programming and its application to allocation problems. She is currently working as a Professor in the Department of Mathematics, Keshav Mahavidyalaya, University of Delhi.Prof. Shalini Arora is presently working as Professor in Mathematics at Applied Sciences and Humanities Department, IGDTUW. She has more than 20 years of Teaching experience. She did her Masters and Ph.D in Mathematics from IIT Delhi. She is a recipient of the Young Scientist Award by the SERC division of DST. She has a teaching experience of more than 19 years. Her areas of research interest include Mathematical Programming, Allocation Problems viz., Transportation and Assignment Problems, Combinatorial optimization etc.Dr. Anand J Kulkarni holds a PhD in Distributed Optimization from Nanyang Technological University, Singapore. He worked as Research Fellow at Odette School of Business, University of Windsor, Canada. He is currently working as Professor and Associate Director of the Institute of AI at the MITWPU, Pune, India.Dr. Patrick Siarry received a PhD degree from the University Paris 6, in 1986 and the Doctorate of Sciences (Habilitation) from the University Paris 11, in 1994. Since 1995, he is working as a professor in automatics and informatics. His main research interests are design of new stochastic global optimization heuristics and their applications to various engineering fields.