Title :
Hybridizing a genetic algorithm with rule-based reasoning for production planning
Author :
Hamada, Kazuro ; Baba, Torhimitsu ; Sato, Ken´ Ichi ; Yufu, Masanao
Author_Institution :
Electron. Res. Lab., Nippon Steel Corp., Kanagawa, Japan
fDate :
10/1/1995 12:00:00 AM
Abstract :
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
Keywords :
expert systems; genetic algorithms; inference mechanisms; scheduling; steel industry; steel manufacture; cost-effective schedules; genetic algorithm; procedural methods; production planning; rule-based expert system; rule-based reasoning; scheduling problems; steelmaking; Control systems; Expert systems; Genetic algorithms; Inference algorithms; Job shop scheduling; Manufacturing industries; Pattern matching; Production planning; Software systems; Steel;
Journal_Title :
IEEE Expert
