An effective hybrid optimization algorithm based on self-adaptive particle swarm optimization algorithm and artificial immune clone algorithm

Proceedings - 4th International Conference on Natural Computation, ICNC 2008

Volumn 7, Issue , 2008, Pages 129-132

  Chen, Ai Ling ^a   Guo, Qiang ^a  

^a SHANDONG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; CLONING; IMAGE ENHANCEMENT; OPTIMIZATION;

ARTIFICIAL IMMUNES; HYBRID OPTIMIZATION ALGORITHMS; INERTIA WEIGHTS; LOCAL OPTIMUMS; OPTIMIZATION PROBLEMS; SELF-ADAPTIVE; SIMULATION RESULTS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 57649228810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.678     Document Type: Conference Paper

References (6)

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3. De Castro, L. N., Von Zuben, F. J.: Learning and optimization using the clonal selection principle. IEEE Transactions on Evolutionary Computation, 2002, pp.239-251.
4. Shi, Y., Eberhart, R.: Empirical, study of particle swarm. optimization. Proceedings of congress on evolutionary computation, 1999, pp.1945-1950
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6. Eberhart, R., Shi, Y.: Particle swarm optimization: developments, applications and resources. Proceeding of the 2001 IEEE International Conference on evolutionary computation , 2001, pp.81-86