A unified optimization framework for real world problems

被引：0

作者：

Li, Yiming ^{[1
]}

Yu, Shao-Ming ^{[2
]}

机构：

[1] Natl Chiao Tung Univ, Dept Commun Engn, Hsinchu, Taiwan

[2] Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu, Taiwan

来源：

RECENT PROGRESS IN COMPUTATIONAL SCIENCES AND ENGINEERING, VOLS 7A AND 7B | 2006年 / 7A-B卷

关键词：

evolutionary and deterministic methods; optimization; simulation-based optimization;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, an object-oriented unified optimization framework (UOF) for general problem optimization is developed. Based on global evolutionary algorithms, numerical deterministic methods, and C++ objective design, the UOF itself has great potential to perform optimization operations on kind of problems. The UOF provides basic interfaces to define a general problem and generic solver;, hence the two different parts are bridged. The UOF components are categorized into problem and solver parts and work independently. Therefore, reutilization of the high level code allows an adaptation to new problem and solver quickly. We customize the UOF to deal with some real world optimization problems.

引用

页码：816 / +

页数：2

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