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- W3213374088 abstract "This paper works on multiple-pursuer single-evader (MPSE) problems with a fast evader, which means multiple pursuers try to capture one evader while the evader tries to escape from the encirclement. The biggest concern is that the maximum velocity of the evader is larger than all the pursuers. Some improved strategies for the evader and pursuers based on traditional algorithms are firstly provided. Then gene expression programming (GEP) is used to generate new strategies which are better than the traditional ones. This paper shows configurations of function set, terminal set, fitness, evaluation function, and other parameters used in the GEP method, which can be implemented in other cases or similar problems." @default.
- W3213374088 created "2021-11-22" @default.
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- W3213374088 date "2021-10-13" @default.
- W3213374088 modified "2023-09-23" @default.
- W3213374088 title "Multi-Agent Cooperative Pursuit-Evasion Control Using Gene Expression Programming" @default.
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- W3213374088 doi "https://doi.org/10.1109/iecon48115.2021.9589599" @default.
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