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NEW NONSTANDARD JOB SHOP SCHEDULING ALGORITHM 被引量:10
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作者 XIE Zhiqiang YE Guangjie +1 位作者 ZHANG Dali TAN Guangyu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2008年第4期97-100,共4页
Considering the complex constraint between operations in nonstandard job shop scheduling problem (NJSSP), critical path of job manufacturing tree is determined according to priority scheduling function constructed. ... Considering the complex constraint between operations in nonstandard job shop scheduling problem (NJSSP), critical path of job manufacturing tree is determined according to priority scheduling function constructed. Operations are divided into dependent operations and independent operations with the idea of subsection, and corresponding scheduling strategy is put forward according to operation characteristic in the segment and the complementarities of identical function machines. Forward greedy rule is adopted mainly for dependent operations to make operations arranged in the right position of machine selected, then each operation can be processed as early as possible, and the total processing time of job can be shortened as much as possible. For independent operations optimum scheduling rule is adopted mainly, the inserting position of operations will be determined according to the gap that the processing time of operations is subtracted from idle time of machine, and the operation will be inserted in the position with minimal gap. Experiments show, under the same conditions, the result that operations are scheduled according to the object function constructed, and the scheduling strategy adopted is better than the result that operations are scheduled according to efficiency scheduling algorithm. 展开更多
关键词 Nonstandard job shop scheduling priority scheduling function Subsection Forward greedy rule Optimum scheduling rule
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Project Scheduling Using Hybrid Genetic Algorithm with Fuzzy Logic Controller in SCM Environment 被引量:1
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作者 Mitsuo Gen KwanWoo Kim Genji Yamazaki 《Tsinghua Science and Technology》 SCIE EI CAS 2003年第1期19-29,共11页
In supply chain management (SCM) environment, we consider a resource-constrained project scheduling problem (rcPSP) model as one of advanced scheduling problems considered by a constraint programming technique. We de... In supply chain management (SCM) environment, we consider a resource-constrained project scheduling problem (rcPSP) model as one of advanced scheduling problems considered by a constraint programming technique. We develop a hybrid genetic algorithm (hGA) with a fuzzy logic controller (FLC) to solve the rcPSP which is the well known NP-hard problem. This new approach is based on the design of genetic operators with FLC through initializing the serial method which is superior for a large rcPSP scale. For solving these rcPSP problems, we first demonstrate that our hGA with FLC (flc-hGA) yields better results than several heuristic procedures presented in the literature. We have revealed a fact that flc-hGA has the evolutionary behaviors of average fitness better than hGA without FLC. 展开更多
关键词 resource-constrained project scheduling problem (rcPSP) priority rule method (PRM) hybrid genetic algorithm (hGA) fuzzy logic controller (FLC)
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