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- W2335995717 abstract "The Job Shop Scheduling Problem (known as JSSP) is a wellknown and one of the difficult combinatorial optimization problems and treated as a member of NP-complete problem class. This paper presents an algorithm based on Simulated Annealing method to solve the Job Shop Scheduling problem. It is an approximation algorithm for finding the minimum makespan in a job shop. The proposed algorithm is based on Roulette wheel selection and simulated annealing, a generalization of the well known and effective iterative improvement approach for combinatorial optimization problems. The generalization involves the acceptance of cost-increasing transitions with a nonzero probability to avoid getting stuck in local minima. The problem studied in this research focuses on the sequencing of operations and allocation of operation to the machine under some sequence constraint." @default.
- W2335995717 created "2016-06-24" @default.
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- W2335995717 date "2015-01-01" @default.
- W2335995717 modified "2023-09-26" @default.
- W2335995717 title "Blending roulette wheel selection with simulated annealing for job shop scheduling problem" @default.
- W2335995717 doi "https://doi.org/10.1049/cp.2015.1696" @default.
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