Multi-Objective Optimization for Job Shop Scheduling Problem Using Genetic Algorithm
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MURTHY, E N OPERATIONs MANAGEMENTSummary: Multi-objective optimization is presented in this paper for job shop scheduling problem. Coding is executed using MATLAB for tardiness and makespan. Genetic algorithm is implemented using MATLAB toolbox, and Pareto frontier is used to analyze the results. Benchmark is selected for simulation.
| Item type | Current library | Call number | Vol info | Status | Notes | Date due | Barcode | Item holds | |
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Journal Article
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Main Library | Vol 17, No 1/ 5558562JA3 (Browse shelf(Opens below)) | Available | 5558562JA3 | |||||
Journals and Periodicals
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Main Library On Display | JOURNAL/OPERATION/Vol 17, No 1/5558562 (Browse shelf(Opens below)) | Vol 17, No 1 (01/05/2018) | Not for loan | February, 2018 | 5558562 |
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Multi-objective optimization is presented in this paper for job shop scheduling problem. Coding is executed using MATLAB for tardiness and makespan. Genetic algorithm is implemented using MATLAB toolbox, and Pareto frontier is used to analyze the results. Benchmark is selected for simulation.
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