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- W2366714635 abstract "For the low coverage of intelligent algorithm in wireless sensor network and the high algorithm complexity,a simple and efficient algorithm of chaotic fruit fly was proposed.The optimization of fruit fly algorithm was used to guide node layout for sensor network,a chaotic disturbance factor was randomly generated based on the ergodicity of chaotic search,and chaotic perturbations were used before every time fruit flies group evolved to make fruit flies group quickly jump out of local optimization to do global search.Results of analysis and simulation show that the complexity,the convergence rate,and the convergence precision of the chaotic fruit fly algorithm are far superior to leapfrog and virtual force algorithm.It has better network coverage and it is more close to the theory of extreme value." @default.
- W2366714635 created "2016-06-24" @default.
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- W2366714635 date "2015-01-01" @default.
- W2366714635 modified "2023-09-24" @default.
- W2366714635 title "Layout optimization for wireless sensor network based on chaotic fruit fly algorithm" @default.
- W2366714635 hasPublicationYear "2015" @default.
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