A Self-adaptive Immune PSO Algorithm for Constrained Optimization Problems

被引：1
|
作者：
Ouyang, Aijia [1 ]
Zhou, Guo [2 ]
Zhou, Yongquan [1 ]
机构：
[1] Guangxi Univ Nationalities, Coll Math & Comp Sci, Nanning 530006, Guangxi, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Beijing 100081, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE AND INTELLIGENT SYSTEMS | 2010年 / 107卷
关键词：
Adaptation; Immune algorithm; PSO; Constrained-optimization; PARTICLE SWARM OPTIMIZATION; DESIGN;
D O I：
10.1007/978-3-642-16388-3_23
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a new adaptive immune particle swarm optimization (AIA-PSO) algorithm, which can perform solve nonlinear constraints optimization problems. Eight common Benchmark functions and three practical examples show that the AIA-PSO algorithm is effective and practical.
引用
收藏
页码：208 / +
页数：2
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