In this paper, a stochastic variable decomposition strategy is proposed to increase the probability of assigning related variables to the same group, which makes the algorithm better preserve the correlation between variables. The cooperative co-evolution framework is integrated into the algorithm, and a multi-objective decomposition based on large- Particle swarm optimization algorithm

基于大规模变量分解的多目标粒子群优化算法研究_邱飞岳.pdf

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