A Novel Artificial Immune System for Multiobjective Optimization Problems

被引：0

作者：

Gao, Jiaquan ^{[1
]}

Fang, Lei ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Zhijiang Coll, Hangzhou 310024, Zhejiang, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 3, PROCEEDINGS | 2009年 / 5553卷

关键词：

Multiobjective optimization; Artificial immune system; Similar individuals; Evolutionary algorithm; ALGORITHM; NETWORK;

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：

This study presents a novel weight-based multiobjective artificial immune system (WBMOAIS) based on opt-aiNET. The proposed algorithm follows the elementary structure of opt-aiNET, but has the following distinct characteristics: At first, a randomly weighted sum of multiple objectives is used as a fitness function; Secondly, the individuals of the population are chosen from the memory, which is a set of elite solutions. Lastly, in addition to the clonal suppression algorithm similar to that used in opt-aiNET, a new truncation algorithm with similar individuals (TASI) is presented in order to eliminate the similar individuals in memory and obtain a well-distributed spread of non-dominated solutions. Simulation results show WBMOAIS outperforms the vector immune algorithm (VIS) and the elitist non-dominated sorting genetic system (NSGA-II).

引用

页码：88 / 97

页数：10

共 17 条

[1]

[Anonymous], 1 INT C ART IMM SYST

[2]

Coello C. A., 2008, Evolutionary Algorithms for Solving Multi-Objective Problems

[3] Solving multiobjective optimization problems using an artificial immune system [J].

Coello C.A.C. ;

Cortés N.C. .

Genetic Programming and Evolvable Machines, 2005, 6 (2) :163-190

[4]

de Castro LN, 2002, IEEE C EVOL COMPUTAT, P699, DOI 10.1109/CEC.2002.1007011

[5] A fast and elitist multiobjective genetic algorithm: NSGA-II [J].

Deb, K ;

Pratap, A ;

Agarwal, S ;

Meyarivan, T .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197

[6]

Deb K., 2010, MULTIOBJECTIVE OPTIM

[7]

DECASTRO LN, 2002, ARTIFICAL IMMUNE SYS

[8] VIS: An artificial immune network for multi-objective optimization [J].

Freschi, Fabio ;

Repetto, Maurizio .

ENGINEERING OPTIMIZATION, 2006, 38 (08) :975-996

[9]

HART E, 2008, APPL SOFT COMPUT, V3, P191

[10]

Jiao LC, 2005, LECT NOTES COMPUT SC, V3410, P474

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