A Two-Stage Simulation Optimization Method Based on Metamodel

被引：0

作者：

Liu, Zhizhao ^{[1
]}

Li, Wei ^{[1
]}

Yang, Ming ^{[1
]}

机构：

[1] Harbin Inst Technol, Control & Simulat Ctr, Harbin, Peoples R China

来源：

THEORY, METHODOLOGY, TOOLS AND APPLICATIONS FOR MODELING AND SIMULATION OF COMPLEX SYSTEMS, PT IV | 2016年 / 646卷

基金：

中国国家自然科学基金;

关键词：

Simulation optimization; Metamodel; Support vector machine; Particle swarm optimization; PARAMETERS; DESIGN;

D O I：

10.1007/978-981-10-2672-0_9

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

For reducing the sample size of costly simulation system, we propose a novel method named a two-stage simulation optimization method based on metamodel. A small sample is taken to get some useful information for reducing the search space. Then, several optimal values are achieved based on some metamodels of reduced spaces. Finally, the optimal solutions are taken into the simulation system to get the best solution. Six typical test functions are demonstrated that two-stage simulation method can reduce the running times effectively and the results are normally better than the classical metamodel-based simulation optimization method.

引用

页码：82 / 91

页数：10

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