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.