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- W2372859436 abstract "To overcome the shortcomings of slowly converging and easily immerging in partial minimum in the multi-dimensional function optimization problems,a new optimization algorithm based on the particle filter is brought forward in this paper.Firstly,the basic principle of the particle filter algorithm is introduced.Secondly,a new optimization method based on particle filter is enunciated and its design idea and steps are given.Besides,the crossover and mutation operator of genetic algorithm is combined in the new optimization method to enhance the variety of particles.Finally,the simulation results of 30-dimensional Benchmark functions optimization are performed to prove the validity of the new algorithm.The simulation results have shown that the new optimization method based on particle filter has stronger searching ability and higher precision than other optimization methods in the multi-dimensional function optimization,which provides a new method and means for the optimization research." @default.
- W2372859436 created "2016-06-24" @default.
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- W2372859436 date "2012-01-01" @default.
- W2372859436 modified "2023-09-27" @default.
- W2372859436 title "Application of Particle Filter Algorithm in Function Optimization Problems" @default.
- W2372859436 hasPublicationYear "2012" @default.
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