一种基于PSO算法并行模型的多智能体建模方法

2020 IEEE 6th International Conference on Optimization and Applications (ICOA) Pub Date : 2020-04-01 DOI:10.1109/ICOA49421.2020.9094458

M. Zemzami, N. Elhami, M. Itmi, N. Hmina

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引用次数: 0

摘要

提出了一种基于粒子群优化算法(MAPPSO)并行模型的多智能体建模方法。该模型结合了多智能体系统和并行优化。多智能体系统促进了计算智能体之间协调和通信的概念。通过多智能体建模支持并行PPSO模型，提高了模型的性能。

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A Proposal Of A Multi-agent Modeling Based On A Parallel Model Of The PSO Algorithm

The objective of this paper is to propose a new multiagent modeling based on a parallel model of the Particle Swarm Optimization algorithm (MAPPSO). This model combines multi-agent systems and parallelism in optimization. Multi-Agent Systems promote the concept of coordination and communication of computational agents. Supporting the parallel PPSO model by multi-agent modeling improves the performance of the proposed model.

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2020 IEEE 6th International Conference on Optimization and Applications (ICOA)

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