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응용논문 : Flexible Job Shop 일정계획을 위한 혼합유전알고리즘의 적용
To Applied Hybrid Genetic Algorithms for Flexible Job Shop Scheduling
김정자(Jung Ja Kim),김상천(Sang Cheon Kim)
UCI I410-ECN-0102-2009-550-006559387

Genetic algorithms have been applied to the scheduling of job shop - a class of very combinatorial optimization problems. In job shop scheduling problem (JSSP), a common assumption is that the routes that jobs visit machine are fixed. Jobs have machine ro

[자료제공 : 네이버학술정보]
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