@inproceedings{eb7a32f528f94bd9b762a202cc2d341b,
title = "Wingsuit Flying Search Enhanced by Spherical Evolution",
abstract = "Wingsuit flying search (WFS) is a novel metaheuristic search algorithm that mimics the process of a flier to land on the earth{\textquoteright}s surface within their range, i.e., a global minimum of the search space. The main advantage of this algorithm is parameter-free except for the population size and the maximal number of iterations. Spherical evolution (SE) uses a spherical search style which possesses a strong exploring ability especially for multimodal optimization problems. This paper proposes a novel mechanism to incorporate SE into WFS for considerably exploiting the search space while maintaining the strong exploration capability. The resultant hybrid algorithm WFSSE is tested on 30 classical benchmark functions. Experimental results in comparison with other state-of-the art algorithms verify the superior performance of WFSSE in terms of robustness and effectiveness.",
keywords = "Bio-inspired algorithms, Evolutionary algorithms, Global optimization, Metaheuristic, Spherical evolution, Wingsuit flying search",
author = "Jiaru Yang and Yu Zhang and Ziqian Wang and Yuki Todo and Shangce Gao",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 15th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2021",
doi = "10.1007/978-981-16-1354-8_1",
language = "英語",
isbn = "9789811613531",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3--16",
editor = "Linqiang Pan and Shangchen Pang and Tao Song and Faming Gong",
booktitle = "Bio-Inspired Computing",
}