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...

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Bibliographic Details
Main Authors: Chen-Ju Hung, 洪辰儒
Other Authors: Shih-Cheng Horng
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/12634247377304240429