Optimizing the Multi-Objective Discrete Particle Swarm Optimization Algorithm by Deep Deterministic Policy Gradient Algorithm
نویسندگان
چکیده
Deep deterministic policy gradient (DDPG) has been proved to be effective in optimizing particle swarm optimization (PSO), but whether DDPG can optimize multi-objective discrete (MODPSO) remains determined. The present work aims probe into this topic. Experiments showed that the not only quickly improve convergence speed of MODPSO, also overcome problem local optimal solution MODPSO may suffer. research findings are great significance for theoretical and application MODPSO.
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ژورنال
عنوان ژورنال: Journal on artificial intelligence
سال: 2022
ISSN: ['2579-0021', '2579-003X']
DOI: https://doi.org/10.32604/jai.2022.027839