An effective hybrid genetic algorithm for the job shop scheduling problem

International Journal of Advanced Manufacturing Technology

Volumn 39, Issue 9-10, 2008, Pages 965-974

  Zhang, Chaoyong ^a   Rao, Yunqing ^a   Li, Peigen ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Crossover operator; Genetic algorithm; Job shop scheduling problem; Local search

Indexed keywords

ALGORITHMS; GENETIC ALGORITHMS; HEURISTIC ALGORITHMS; MACHINE SHOPS; NUCLEAR PROPULSION; SCHEDULING;

ACTIVE SCHEDULES; CROSS OVERS; CROSSOVER OPERATOR; CROSSOVER OPERATORS; DISRUPTIVE EFFECTS; GENETIC OPERATORS; HYBRID GENETIC ALGORITHMS; JOB SHOP SCHEDULING PROBLEM; JOB-SHOP SCHEDULING PROBLEMS; LOCAL SEARCH; LOCAL SEARCH HEURISTIC; NP-HARD; OPTIMIZATION PROBLEMS;

SCHEDULING ALGORITHMS;

EID: 55649092878     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-007-1354-8     Document Type: Article

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