An evolutionary algorithm for constrained bi-objective optimization using radial slots

被引：0
|
作者：
Ray, T [1 ]
Won, KS
机构：
[1] Univ New S Wales, Australian Def Force Acad, Sch Aerosp Civil & Mech Engn, Kensington, NSW 2033, Australia
[2] Natl Univ Singapore, Temasek Labs, Singapore 117508, Singapore
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 4, PROCEEDINGS | 2005年 / 3684卷
关键词：
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：
In this paper, we introduce an evolutionary algorithm for constrained, bi-objective optimization. The objective space is divided into a predefined number of radial slots and solutions compete with members in the same slot for existence. The procedure creates a uniform spread of solutions across the slots and they collectively form the nondominated front. Constraints are handled using a standard min-max formulation. We report the performace of our algorithm on a set of seven constrained, bi-objective test problems (CTP1 to CTP7) which have been known to pose difficulties to all existing multiobjective algorithms.
引用
收藏
页码：49 / 56
页数：8
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