The construction of dynamic multi-objective optimization test functions

被引：0

作者：

Tang, Min ^{[1
]}

Huang, Zhangcan ^{[2
]}

Chen, Guangxi ^{[1
]}

机构：

[1] Guilin Univ Elect Technol, Guilin, Peoples R China

[2] Wuhan Univ Technol, Sch Sci, Wuhan, Peoples R China

来源：

ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS | 2007年 / 4683卷

关键词：

test functions; multi-objective optimization; dynamic;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Dynamic Multi-objective Optimization Problems (DMOPs) gradually become a difficult and hot topic in Multi-objective Optimization area. However, there is lack of standard test functions for Dynamic Multi-objective Optimization Algorithms now. Firstly this paper proves the existence of Pareto optimal set of a class of a special non-dynamic two-objective optimization problem theoretically. Based on this result, we present one method of constructing dynamic two-objective and scalable multi-objective optimization problems, and then providing the test suites which are easy to be constructed and have known Pareto Optimal set and Pareto optimal front.

引用

页码：72 / +

页数：2