Title: Application of chaos particle swarm optimisation algorithm in multi-project management system of heavy-duty enterprises

Authors: Suping Feng

Addresses: Accounting School, Zibo Vocational Institute, Zibo, 255000, China

Abstract: Aiming at the problem that traditional project management methods are slow in processing problems, a multi-project management method for heavy-duty enterprises that integrates chaos search and particle swarm algorithm is proposed in the experiment. In this process, a multi-project management model for heavy-duty enterprises is first constructed, then the model is improved by adaptive inertia weight, and chaotic perturbation is added to the particle swarm algorithm to improve the particle optimisation process, and finally it is applied to enterprise project management. In the comparison of output and input correlation coefficients in different data sets, the correlation coefficient R values of the proposed method are 0.9677, 0.9431, 0.9603 and 0.9621 respectively. This shows that the algorithm proposed in this paper has a high operating efficiency in the management and scheduling of multi-projects in heavy-duty enterprises, which helps to improve the success rate of projects and reduce costs.

Keywords: heavy enterprises; multi-project management; MPM; chaos theory; particle swarm optimisation; PSO; model building.

DOI: 10.1504/IJTIP.2024.145512

International Journal of Technology Intelligence and Planning, 2024 Vol.13 No.4, pp.364 - 381

Received: 07 Sep 2023
Accepted: 27 Jun 2024
Published online: 02 Apr 2025 *

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