Fuzzy Classifier System and Genetic Programming on System Identification Problems
نویسندگان
چکیده
This paper describes multi-objective evolutionary optimization of process planning in flexible manufacturing systems (FMSs). FMS can be described as an integrated manufacturing system consisting of machines, computers, robots, and automated guided vehicles (AGVs). While FMSs give great advantages through the flexibility, FMSs pose complex problems on multi-objective process planning. An evolutionary approach using a multi-objective evolutionary algorithm with a new elite clearing mechanism is proposed for solving the multiobjective process planning problems (MOPPPs). The experimental results demonstrate that our algorithm can solve MOPPPs efficiently.
منابع مشابه
A Learning Classifier Systems Bibliography
[6] Jose Aguilar and Mariela Cerrada. Fuzzy classifier system and genetic programming on system identification problems. In Lee Spector, Erik D. Goodman, Annie Wu, W.B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 1245–1251, San ...
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