Abstract
In order to solve the problem of slow convergence rate and local convergence, which belongs to solving the shop scheduling problems by using Particle swarm optimization (pso) algorithm, this paper introduces Chaos Principle, crossover, mutation operation and Neighborhood Search algorithm, as well as combining basic Particle Swarm Optimization algorithm into a Hybrid Particle Swarm Optimization algorithm. Because of the combination of the advantages of other algorithms, the ability of particles in the algorithm to break through local solutions is enhanced. The verification of the standard test cases such as FT series and LA series proves the effectiveness of the proposed algorithm and the results are better than other algorithms.
Published Version
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