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- W2356966917 abstract "A modified particle swarm optimization algorithm was presented in order to overcome the weakness of the particle swarm algorithm which has slown convergence rate and is easily trapped in local optimum.The global optimal performance of optimization algorithm was improved by revising the iterative strategy of the particle swarm and introducing the local search mechanism by Tent chaotic map which has strong ergodicity to enhance the global searching of particles.The modified chaotic particle swarm optimization was applied to the simulation in economic load dispatch of 6 unit and 15unit power system respectively,considering the transmission network losses and constrained conditions of the units operation.The results of the simulation show that the algorithm has a faster constringency rate and better global optimization in solving the economic load dispatch problems in power systems,which were of complex constraints such as:high dimension,nonlinear,non-convex,and discrete characteristics etc.Finally,it proves the effectiveness and superiority of this algorithm compared with the other intelligence algorithms." @default.
- W2356966917 created "2016-06-24" @default.
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- W2356966917 date "2013-01-01" @default.
- W2356966917 modified "2023-09-26" @default.
- W2356966917 title "The Modified Chaotic Particle Swarm Optimization Algorithm in the Economic Load Dispatch" @default.
- W2356966917 hasPublicationYear "2013" @default.
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