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Optimization of Parallel Machine Scheduling (PMS) using Intelligent Techniques
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Optimization of parallel machine scheduling in a shop floor environment is considered with the objectives of minimizing both the total earliness and the total tardiness. A hybrid optimization procedure based on genetic algorithm and fuzzy logic technique has been developed in this work in order to achieve the multi-objective functions. The proposed optimization procedure is compared with the existing heuristics and the performances are analyzed.
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