A Modified Particle Swarm Optimization Algorithm

A shuffled complex evolution of particle swarm optimization algorithm called SCE-PSO is introduced in this paper. In SCE-PSO, a population of points sampled randomly from the feasible space is partitioned into several complexes, each of which is permitted to evolve independently based on particle sw...

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Hauptverfasser: Jiang Yan, Hu Tiesong, Huang Chongchao, Wu Xianing
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Hu Tiesong
Huang Chongchao
Wu Xianing
description A shuffled complex evolution of particle swarm optimization algorithm called SCE-PSO is introduced in this paper. In SCE-PSO, a population of points sampled randomly from the feasible space is partitioned into several complexes, each of which is permitted to evolve independently based on particle swarm optimization (PSO). At periodic stages in the evolution, the entire population is shuffled and points are reassigned to complexes to ensure information sharing. In the simulation part, numerical experiences and case study are performed, and the performance of the proposed algorithm is compared to PSO to demonstrate its efficiency
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subjects Equations
Hydroelectric power generation
Laboratories
Mathematics
Numerical simulation
Particle swarm optimization
Particle tracking
Partitioning algorithms
Statistics
Water resources
title A Modified Particle Swarm Optimization Algorithm
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