Application of Parallel Computing In Robust Optimization Design Using MATLAB
This article provides an effective way to alleviate the long running defect of multi-objective intelligent optimization algorithms and enhance its ability to solve the robust optimization (RO) design.It describes the implementation of parallel computing for intelligent optimization algorithms based on the MATLAB Parallel Computing Toolbox (PCT) and Distributed Computing Server (DCS).In order to test the effectiveness of the proposed method,the parallel multi-objective bacterial colony chemotaxis (PMOBCC) algorithm and parallel dichotomy (PD) are applied to run a class of bilevel inverse multi-objective robust optimization (BI-MORO) design.A set of experiments are tested by using different number of MATLAB workers.The results illustrated that it is convenient and effective to use MATLAB for parallelizing the intelligent optimization algorithms.
Parallel computing Toolbox MATLAB intel-ligent optimization algorithms robust optimization
Huijing Wang Zhigang Lu Hao Zhao Huibo Feng
国际会议
秦皇岛
英文
1228-1231
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）