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- W2185197539 abstract "Job shop scheduling problem is well known common production problems which consists of 'n'-Jobs and 'm'-Machine. Many researchers applied varied approaches with existing heuristics for small size problems with near optimal solutions. This paper presents the criterion of minimisation of makespan for the different size Job Shop Scheduling problems. The proposed computational method of selective breeding Algorithm is used for finding optimal makespan values of different size problems. This algorithm is tested with 10 bench mark problems. The result shows that the proposed algorithm is a most efficient and effective algorithm which produced better result than other algorithm compared in literature. Hence the proposed algorithm is a good tool for problem solving technique for such kind of scheduling problems." @default.
- W2185197539 created "2016-06-24" @default.
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- W2185197539 date "2015-01-01" @default.
- W2185197539 modified "2023-09-28" @default.
- W2185197539 title "An Evolutionary Algorithm Applied for Optimisation of Single Objective (makespan minimisation) Job Shop Scheduling Problems." @default.
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- W2185197539 hasPublicationYear "2015" @default.
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