Immune Based Chaotic Artificial Bee Colony Multiobjective Optimization Algorithm

  • Xia Zhou
  • Jiong Shen
  • Yiguo Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7928)


This work presents a new multiobjective optimization algorithm based on artificial bee colony, named the ICABCMOA. In order to meet the requirements of Pareto-based approaches, a new fitness assignment function is defined based on the dominated number. In the ICABCMOA, a high-dimension chaotic method based on Tent map is addressed to increase the searching efficiency. Vaccination and gene recombination are adopted to promote the convergence. The experimental results of the ICABCMOA compared with NSGAII and SPEA2 over a set of test functions show that it is an effective method for high-dimension optimization problems.


Immune Multiobjective Chaotic Artificial Bee Colony 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Xia Zhou
    • 1
  • Jiong Shen
    • 2
  • Yiguo Li
    • 2
  1. 1.School of Mechanical & Electrical EngineeringJinling Institute of TechnologyNanjingP.R. China
  2. 2.School of Energy & EnvironmentSoutheast UniversityNanjingP.R. China

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