Large scale fuzzy multiobjective 0-1 programs through genetic algorithms with decomposition procedures

In this paper, we focus on large scale fuzzy multiobjective 0-1 programming problems. For fuzzy multiobjective programming problems, we introduce extended concepts of the ordinary Pareto optimal solution. The problem to find a satisfying solution for the decision-maker from the extended Pareto optimal solution set is a kind of combinatorial optimization problem, so we apply genetic algorithms to solve it. Since the problems considered in this paper are large scale and a large scale problem has often a special structure called block angular structure, we apply genetic algorithms revised by the authors to utilize the special structure.