会议ICCIP2023发表论文：基于扩散机制多目标蚁群算法的网络拓扑构建

论文“A Diffusion-Based Multi-Objective Ant Colony Algorithm for Optimizing Network Topology Design”被会议2023 the 9th International Conference on Communication and Information Processing（ICCIP2023）接收

时间：2023-10-08

关键词：脑机接口与智能机器人，集群控制，文章接收

  近日，硕士研究生胡华文在通信领域会议（International Conference on Communication and Information Processing）发表题为“基于扩散机制多目标蚁群算法的网络拓扑构建”的研究性文章，通讯作者为张枢教授。

  Network topology construction is critical for designing efficient and resilient networks. Although ant colony optimization (ACO) has been widely applied in these tasks owing to its advantage of the pheromone update mechanism, it still exhibits limitations in solving such multi-objective optimization problems and converges slowly. This paper proposes a Diffusion-Based Multi-Objective Ant Colony Optimization (DMAC) algorithm for effective and reliable network topology construction. DMAC integrates pheromone diffusion mechanisms with multi-objective ACO to optimize multiple critical objectives concurrently and accelerate convergence. Experiments on simulation and real-world implementation demonstrate DMAC’s ability to construct high-quality topologies balancing key tradeoffs within a small iteration budget. The proposed combination of diffusion mechanisms and multi-objective ACO addresses the limitations of prior ACO methods and provides new effective approach to automated network topology construction under multiple design constraints. DMAC demonstrates promising performance improvements on this complex multi-objective optimization problem and has great application potential in other fields and algorithms.

图1：扩散机制示意图

参考文献

Hu Huawen, Haiyang Zhang, Enze Shi, Sigang Yu, Huan Gao, and Shu Zhang. " A diffusion-based multi-objective ant colony algorithm for optimizing network topology design " 2023 the 9th International Conference on Communication and Information Processing.