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- W2893664716 abstract "Firefly algorithm is a kind of bionic swarm optimization algorithm, which is simple and convenient. It has been applied in many fields. However, the algorithm has an obvious disadvantage of weak global search ability. When it is applied to complex optimization problems, some measures must be adopted in order to improve its performance. In this paper, five improvements are introduced. The improvements focus on parameter adjustment, topological structure and evolution strategy. The global search ability and local search ability are better balanced. The convergence speed and convergence accuracy are improved. The simulation results show that the performance of the improved algorithm is superior to the basic algorithm and other improved algorithms, and more effective for complex optimization problem." @default.
- W2893664716 created "2018-10-05" @default.
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- W2893664716 date "2018-05-01" @default.
- W2893664716 modified "2023-09-26" @default.
- W2893664716 title "A Multi Measure Improved Firefly Algorithm" @default.
- W2893664716 cites W1987392793 @default.
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- W2893664716 doi "https://doi.org/10.1109/imcec.2018.8469598" @default.
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