Multi-Objective Combinatorial Optimization Problems and Solution
Methods discusses the results of a recent multi-objective
combinatorial optimization achievement that considered
metaheuristic, mathematical programming, heuristic, hyper heuristic
and hybrid approaches. In other words, the book presents various
multi-objective combinatorial optimization issues that may benefit
from different methods in theory and practice. Combinatorial
optimization problems appear in a wide range of applications in
operations research, engineering, biological sciences and computer
science, hence many optimization approaches have been developed
that link the discrete universe to the continuous universe through
geometric, analytic and algebraic techniques. This book covers this
important topic as computational optimization has become
increasingly popular as design optimization and its applications in
engineering and industry have become ever more important due to
more stringent design requirements in modern engineering practice.
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