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Title: Summary Of Moga
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Science |
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| Date: |
January 21, 1999 |
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2 / 293 |
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Summary
This paper explains a Multi-Objective Genetic Algorithm (MOGA) approach to a Just-In-Time (JIT) sequencing problem where variation of production rates and number of setups are to be optimized together. These two objectives are typically inversely correlated with each other, and therefore, simultaneously optimization of both is challenging... Showed first 250 characters
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Summary
This paper explains a Multi-Objective Genetic Algorithm (MOGA) approach to a Just-In-Time (JIT) sequencing problem where variation of production rates and number of setups are to be optimized together. These two objectives are typically inversely correlated with each other, and therefore, simultaneously optimization of both is challenging... Showed next 250 characters
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