An Adaptive Multi-objective Immune Optimization Algorithm

It is difficult for traditional search methods to solve multi-objective optimization problems. Based on the idea of clonal selection principle, we present an adaptive multi-objective immune optimization algorithm (AMIOA) for function optimization problems and analyze its powerful performance from th...

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Bibliographic Details

Published in:	CASE 2009 : 2009 IITA International Conference on Control, Automation and Systems Engineering : proceedings, 11-12 July 2009, Zhangjiajie, China pp. 140 - 143
Main Author:	Lu Hong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2009
Subjects:	Adaptive control Adaptive systems artificial immune systems Automatic control Automation clonal selection principle Control systems Immune system multi-objective function optimization Optimization methods Power engineering and energy Programmable control Systems engineering and theory
ISBN:	0769537286, 9780769537283
Online Access:	Get full text
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