International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 4, No. 6, 8 Jun. 2012
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A General Framework for Multi-Objective Optimization Immune Algorithms
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Author(s)
Chen Yunfang
1,*
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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