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2002
Conference Paper
Titel
A coevolutionary algorithm for a facility layout problem
Abstract
This paper is dedicated to a coevolutionary approach to the numerical optimization of large facility layouts using genetic algorithms. First we introduce a new way to code the relative positions of the departments. We present improved mutation and crossover operators for this problem. In order to cope with large problem size, departments are clustered into groups. These groups evolve in separate areas while position and size of these areas undergo an evolution, too.