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Natural Computing

Erschienen in:

01.06.2016

Adaptive niche quantum-inspired immune clonal algorithm

verfasst von: Jianyong Liu, Huaixiao Wang, Yangyang Sun, Ling Li

Erschienen in: Natural Computing | Ausgabe 2/2016

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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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Titel: Adaptive niche quantum-inspired immune clonal algorithm
verfasst von: Jianyong Liu
Huaixiao Wang
Yangyang Sun
Ling Li
Publikationsdatum: 01.06.2016
Verlag: Springer Netherlands
Erschienen in: Natural Computing / Ausgabe 2/2016
Print ISSN: 1567-7818
Elektronische ISSN: 1572-9796
DOI: https://doi.org/10.1007/s11047-015-9495-4

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