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International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.4, No.6, Jun. 2012

A General Framework for Multi-Objective Optimization Immune Algorithms

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Author(s)

Chen Yunfang

Index Terms

Multi-Objective Optimization;Artificial Immune Systems;Algorithms Framework

Abstract

Artificial Immune System (AIS) is a hotspot in the area of Computational Intelligence. While the Multi-Objective Optimization (MOP) problem is one of the most widely applied NP-Complete problems. During the past decade more than ten kinds of Multi-Objective optimization algorithms based on AIS were proposed and showed outstanding abilities in solving this kind of problem. The paper presents a general framework of Multi-Objective Immune Algorithms, which summarizes a uniform outline of this kind of algorithms and gives a description of its principles, mainly used operators and processing methods. Then we implement the proposed framework and build four typical immune algorithms on it: CLONALG, MISA, NNIA and CMOIA. The experiment results showed the framework is very suitable to develop the various multi-objective optimization immune algorithms.

Cite This Paper

Chen Yunfang,"A General Framework for Multi-Objective Optimization Immune Algorithms", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.6, pp.1-13, 2012. DOI: 10.5815/ijisa.2012.06.01

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