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- W2372287442 abstract "This paper proposed a new multilevel parallel quantum-behaved particle swarm optimization algorithm based on asymmetrical boundary variation(MQPSOBV).This algorithm is designed to solve the problem of crossing the predefined boundary that standard PSO algorithm may often suffers.By introducing the concept of multilevel,the algorithm set the asymmetrical effective regions separately,as well as the layers parameters.And they operated in parallel.So it occurred variation near the respond boundary and maintainred the swarm among the effective region if the swarm was beyond the asymmetrical boundary.Test results show that the proposed algorithm effectively overcomes the shortcomings of standard PSO.Its accuracy and the performance of global search for optimal solutions have been greatly improved.Therefore,it provides a perfect application in the practice." @default.
- W2372287442 created "2016-06-24" @default.
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- W2372287442 date "2013-01-01" @default.
- W2372287442 modified "2023-09-23" @default.
- W2372287442 title "Multilevel parallel quantum-behaved particle swarm optimization based on asymmetrical boundary variation" @default.
- W2372287442 hasPublicationYear "2013" @default.
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