Hybridizing a Genetic Algorithm with Rule-Based Reasoning for Production Planning

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. >