Abstract
This paper focuses on Artificial Bee Colony (ABC) algorithm which can utilize global information in the static environment and extends it to ABC algorithm based on local information sharing (ABC-lis) in dynamic environment. In detail, ABC-lis algorithm shares only local information of solutions unlike the conventional ABC algorithm. To investigates the search ability and adaptability of ABC-lis algorithm to environmental change, we compare it with the conventional two ABC algorithms by applying them to a multimodal problem with dynamic environmental change. The experimental results have revealed that the proposed ABC-lis algorithm can maintain the search performance in the multimodal problem with the dynamic environmental change, meaning that ABC-lis algorithm shows its search ability and adaptability to environmental change.
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© 2015 Springer International Publishing Switzerland
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Takano, R., Harada, T., Sato, H., Takadama, K. (2015). Artificial Bee Colony Algorithm Based on Local Information Sharing in Dynamic Environment. In: Handa, H., Ishibuchi, H., Ong, YS., Tan, K. (eds) Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1. Proceedings in Adaptation, Learning and Optimization, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-13359-1_48
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DOI: https://doi.org/10.1007/978-3-319-13359-1_48
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13358-4
Online ISBN: 978-3-319-13359-1
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