An intelligent approach for remote handling maintenance sequence planning in radiation environment

In order to improve the level of remote handling maintenance sequence planning for radiation equipment, a remote handling maintenance sequence planning algorithm based on adaptive mutation particle swarm optimization (AMPSO) was proposed. In view of the discreteness characteristic of the sequences planning, on the basis of the basic particle swarm optimization algorithm, the particle position, velocity and their update operation were redefined; the mutation operator of genetic algorithm was introduced to improve the ability to jump out of local optimum. The simulation experimental results show that compared with genetic algorithm and basic particle swarm algorithm, the proposed algorithm has high convergence speed and accuracy, can effectively improve the quality and efficiency of sequences planning.