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Hybrid Algorithm Based on Max And Min Ant System And Particle Swarm Optimization for Solving TSP Problem

机译:基于MAX和MIN ANT系统的混合算法及求解TSP问题的粒子群优化

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摘要

A hybrid algorithm which combines ant colony optimization algorithm and particle swarm optimization algorithm (ACO-PSO) is proposed to solve travelling salesman problem. Max-Min Ant System, whose parameters are optimized by PSO, is utilized to solve the problems. Massive of benchmark problems are utilized to test the performance of proposed algorithm.
机译:提出了一种结合蚁群优化算法和粒子群优化算法(ACO-PSO)的混合算法来解决旅行推销员问题。 MAX-MIN ANT系统,其参数由PSO优化,用于解决问题。基准问题的巨大问题用于测试所提出的算法的性能。

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