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- W2005395763 abstract "Cellular genetic algorithm (cGA) is a subclass of genetic algorithm (GA) in which the population diversity and exploration are enhanced thanks to the existence of small overlapped neighborhoods. Such a kind of structured algorithms is specially well suited for complex problems. Shop scheduling problem is a kind of problem with practical significance, and it belongs to a combinational optimization problem called NP-hard problem. In this paper we establish the model of job-shop problem (JSP) and solve the job-shop scheduling problem with cGA and traditional genetic algorithms (sGA).From the experimental results and analysis, we find cGA has better search efficiency and convergence performance than sGA." @default.
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- W2005395763 date "2013-10-01" @default.
- W2005395763 modified "2023-09-27" @default.
- W2005395763 title "Solving the Job-Shop Scheduling Problem Based on Cellular Genetic Algorithm" @default.
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- W2005395763 doi "https://doi.org/10.4028/www.scientific.net/amm.433-435.639" @default.
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