A New Hybrid AIS-GA for Constrained Optimization Problems in Mechanical Engineering

被引：60

作者：

Bernardino, H. S. ^{[1
]}

Barbosa, H. J. C. ^{[2
]}

Lemonge, A. C. C. ^{[1
]}

Fonseca, L. G. ^{[2
]}

机构：

[1] Univ Fed Juiz de Fora, Juiz De Fora, MG, Brazil

[2] Lab Nacl Comp Cient, Petropolis, RJ, Brazil

来源：

2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8 | 2008年

关键词：

D O I：

10.1109/CEC.2008.4630985

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

A genetic algorithm (GA) is hybridized with an artificial immune system (AIS) as an alternative to tackle constrained optimization problems in engineering. The AIS is inspired in the clonal selection principle and is embedded into a standard GA search engine in order to help move the population into the feasible region. The procedure is applied to mechanical engineering problems available in the literature and compared to other alternative techniques.

引用

页码：1455 / +

页数：2

共 24 条

[1]

[Anonymous], LIST REFERENCES CONS

[2]

Barbosa H.J., 2002, Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation, P287

[3]

BERNARDINO HS, 2006, LATE BREAKING PAPER

[4]

BERNARDINO HS, 2007, P 2007 IEEE C EV COM