Assignment Problem is one of the first fundamental problems in the area of combinatorial optimization. Despite its historical roots, the problem has tremendous importance to date, due to its numerous real life applications in like facility location, personnel scheduling, job scheduling, production planning, project assignment, task assignment, time-tabling, vehicle routing, storage space allocation, etc. This book comprises some real life assignment and related problems involving imprecise cost/time parameters. In order to represent those imprecise parameters, interval numbers have been used here as this representation is the best among others. The associated problems have been solved using Genetic Algorithm efficiently. A salient feature of this book is that most of the algorithms have been written in a lucid manner with suitable examples using figures. This book should interest academicians, OR/GA practitioners and executives of different industries and business organizations.
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J. Majumdar: M.Sc. (Appl. Math.) from University of Calcutta & Ph.D. from The University of Burdwan. Assistant Prof., Durgapur Government College, India. Published 6 research papers. A. K. Bhunia: M.Sc. (Appl. Math.) & Ph.D. from Vidyasagar University. Associate Prof., The University of Burdwan, India. Published a book & 70 more research papers.
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