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- W4285218420 abstract "Wang, Xiaopeng Chu, Shu-Chuan Pan, Jeng-ShyangIn this work, a novel meta-heuristic algorithm named five phases algorithm (FPA) is proposed. FPA is inspired by five phases (wood, fire, earth, metal, water) scheme in traditional Chinese thought. FPA maintains a balance between exploitation and exploration in search space, which is modelled based on the generating and overcoming strategy of five phases and learning strategy from the agent with the same label. FPA has a simple structure but excellent performance. It also does not have any predefined control parameters, only two common parameters are required: population size and terminal condition. This provides flexibility to users to solve different optimization problems. The comprehensive performance of FPA is evaluated on the CEC2013 and CEC2017 test suites. The solutions obtained by FPA are compared with 5 state-of-the-art meta-heuristic algorithms including particle swarm optimization (PSO), grey wolf optimizer (GWO), multi-verse optimizer (MVO), sine cosine algorithm (SCA) and slime mould algorithm (SMA). The experimental results confirm that the proposed FPA is highly competitive compared to the counterparts." @default.
- W4285218420 created "2022-07-14" @default.
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- W4285218420 date "2022-01-01" @default.
- W4285218420 modified "2023-09-26" @default.
- W4285218420 title "Five Phases Algorithm for Global Optimization" @default.
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- W4285218420 doi "https://doi.org/10.1007/978-981-19-1057-9_9" @default.
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