Research on university archives management based on multi-objective particle swarm optimization algorithm

Jin Xue; Sijin Li

doi:10.1117/12.2636528

6 May 2022 Research on university archives management based on multi-objective particle swarm optimization algorithm

Jin Xue, Sijin Li

Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121762J (2022) https://doi.org/10.1117/12.2636528
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China

Abstract

Aiming at the multimodal characteristics of multi-objective optimization problems, which need to provide decision-makers with a variety of choices or various information, this paper proposes a multi-modal multi-objective particle swarm optimization algorithm using ring topology and neighborhood disturbance strategy. Using the system topology, the population can form multiple independent search environments without specifying any parameters. To better global exploration and local development, an automatic conversion mechanism of global search and local search is proposed. The stagnation detection strategy is introduced to disturb the neighborhood optimal particles to improve the diversity of particle swarm optimization. Prevent the algorithm from premature convergence to a pareot optimal solution set. Experimental analysis verifies the feasibility of the proposed algorithm. Experiments are carried out with the comparison method. The experimental results show that the proposed algorithm can better ensure the diversity and convergence in the target space, which is to find more complete and evenly distributed optimal solution sets.

Citation Download Citation

Jin Xue and Sijin Li "Research on university archives management based on multi-objective particle swarm optimization algorithm", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121762J (6 May 2022); https://doi.org/10.1117/12.2636528

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