Apply Ordinal Optimization for Solving the Stochastic Simulation Optimization Problems
碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 99 === In this paper, we propose an evolutionary algorithm (EA) assisted by a surrogate model in the framework of ordinal optimization (OO) and optimal computing budget allocation (OCBA) to solve the real-time combinatorial stochastic simulation optimization problem wi...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2011
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Online Access: | http://ndltd.ncl.edu.tw/handle/12634247377304240429 |