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Adaptive niche quantum-inspired immune clonal algorithm

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Abstract

The adaptive niche quantum-inspired immune clonal algorithm (ANQICA) is proposed by combining the quantum coding, immune clone and niche mechanism together to solve the multi-modal function optimization more effectively and make the function converge to as many as possible extreme value points. The quantum coding can better explore the solution space, the niche mechanism ensures the algorithm to converge to multi-extremum and the adaptive mechanism is introduced according to the characteristics of each procedure of the algorithm to improve the effect of the algorithm. Example analysis shows that the ANQICA is better in exploration and convergence. Therefore, the ANQICA can be used to solve the problem of multi-modal function optimization effectively.

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Authors and Affiliations

  1. College of Field Engineering, PLA University of Science and Technology, Nanjing, 210007, China

    Jianyong Liu, Huaixiao Wang & Ling Li

  2. College of Defense Engineering, PLA University of Science and Technology, Nanjing, 210007, China

    Yangyang Sun

Authors
  1. Jianyong Liu
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  2. Huaixiao Wang
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  3. Yangyang Sun
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  4. Ling Li
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Correspondence to Huaixiao Wang.

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Liu, J., Wang, H., Sun, Y. et al. Adaptive niche quantum-inspired immune clonal algorithm. Nat Comput 15, 297–305 (2016). https://doi.org/10.1007/s11047-015-9495-4

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  • DOI: https://doi.org/10.1007/s11047-015-9495-4

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