Title: Exploring the costing method of steel enterprises based on PSO algorithm under the concept of sustainable development

Authors: Jinping Qiu

Addresses: School of Accounting, Chongqing College of Finance and Economics, Chongqing 402160, China

Abstract: According to the established raw material cost difference accounting model of iron and steel enterprises, AAD-MOPSO algorithm is used to solve the model. The model, a very accurate cost accounting technique, balances the quantity and price variations of steel goods. The experiments are compared with particle swarm optimisation (PSO) and multi-objective particle swarm optimisation (MOPSO) to verify the excellent performance of the proposed model. The results of AAD-MOPSO algorithm in the SP test function show that its SP, IGD and IH indicators are lower than the comparison algorithm. The best performances of the three indicators are 3.419E-4, 2.154E-4 and 1.017E-3. As a result, the AAD-MOPSO algorithm enhances the iron and steel industry's cost accounting accuracy and promotes the long-term growth of businesses.

Keywords: particle swarm optimisation; PSO; costing; sustainability; least squares; multi-objective particle swarm optimisation; MOPSO.

DOI: 10.1504/IJCSYSE.2023.132909

International Journal of Computational Systems Engineering, 2023 Vol.7 No.2/3/4, pp.86 - 95

Received: 30 Nov 2022
Accepted: 07 Feb 2023
Published online: 16 Aug 2023 *

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