Hybridizing a genetic algorithm with rule-based reasoning for production planning
K. Hamada, Takeshi Baba, Kôzô Satô, Mamiko Yufu · IEEE Expert · 1995
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.>