随机漂移粒子群优化的交叉运算

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI:10.1109/DCABES50732.2020.00071

Min Yan, Jun Sun, Qidong Chen

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引用次数: 0

摘要

为了提高全局搜索能力，提出了一种基于RDPSO算法的交叉运算(CO-RDPSO)。通过交叉运算，粒子可以跳过局部最优，增强全局搜索能力。用12个函数对CO-RDPSO进行了测试，实验结果表明，无论在单峰还是多峰情况下，CO-RDPSO不仅得到了更好的结果，而且收敛速度快于其他算法。

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Crossover Operation of Random Drift Particle Swarm Optimization

In order to enhance the global search capability, a crossover operation based on RDPSO algorithm(CO-RDPSO) is put forward. Through crossover operation, particles can skip the local optimum and strengthen the global search capability. Test CO-RDPSO with twelve functions, the experiment results directions, CO-RDPSO not only obtains better results but also converge faster than other algorithms both on unimodal or multimodal.

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2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

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