A Genetic Programming Methodology for the Solution of the Multiobjective Cell - Formation Problem

نویسنده

  • Christos Dimopoulos
چکیده

This article introduces a genetic programming algorithm for the solution of the multiobjective cellformation problem. This problem is related to the design of a cellular manufacturing production system. A well-known evolutionary multiobjective technique guides the algorithm in its search for the Pareto set of solutions. The framework is tested on an industrial case study taken from the literature. Results illustrate that, unlike traditional techniques, the proposed framework has the ability to provide the designer of the system with a wealth of potential solutions.

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تاریخ انتشار 2005