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Hybridizing a genetic algorithm with rule-based reasoning for production planning

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4 Author(s)
Hamada, K. ; Electron. Res. Lab., Nippon Steel Corp., Kanagawa, Japan ; Baba, T. ; Sato, K. ; Yufu, M.

Scheduling problems in steelmaking are too large and complex for any one method. Our approach divides the problem into subproblems, and then combines procedural methods, a rule-based expert system, and a genetic algorithm. This strategy produces time-saving, cost-effective schedules

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IEEE Expert  (Volume:10 ,  Issue: 5 )