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《Control and Decision》 2001-S1
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Advances in Job Shop Scheduling Based on Genetic Algorithm

WANG Ling, ZHENG Da-zhong (Department of Automation, Tsinghua University, Beijing 100084, China)  
Job shop is a class of typical scheduling problem, while genetic algorithm is one major object of computational intelligence. The study on genetic algorithm based job shop scheduling has been paid much attention both in academic and engineering fields. A comprehensive survey on such issue is presented, including encoding, improvement, comparison, property analysis, generalization, real application and scheduler development. Some further research directions are discussed.
【Fund】: 国家自然科学基金项目 (6 0 0 740 12 );; 973基础研究项目 (G19980 2 0 310 )
【CateGory Index】: TB114
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