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Research on Optimization of Project Time-Cost-Quality Based on Particle Swarm Optimization

Research on Optimization of Project Time-Cost-Quality Based on Particle Swarm Optimization

Yanqing Song, Genran Hou
Copyright: © 2019 |Volume: 12 |Issue: 2 |Pages: 13
ISSN: 1935-5726|EISSN: 1935-5734|EISBN13: 9781522564652|DOI: 10.4018/IJISSCM.2019040106
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MLA

Song, Yanqing, and Genran Hou. "Research on Optimization of Project Time-Cost-Quality Based on Particle Swarm Optimization." IJISSCM vol.12, no.2 2019: pp.76-88. http://doi.org/10.4018/IJISSCM.2019040106

APA

Song, Y. & Hou, G. (2019). Research on Optimization of Project Time-Cost-Quality Based on Particle Swarm Optimization. International Journal of Information Systems and Supply Chain Management (IJISSCM), 12(2), 76-88. http://doi.org/10.4018/IJISSCM.2019040106

Chicago

Song, Yanqing, and Genran Hou. "Research on Optimization of Project Time-Cost-Quality Based on Particle Swarm Optimization," International Journal of Information Systems and Supply Chain Management (IJISSCM) 12, no.2: 76-88. http://doi.org/10.4018/IJISSCM.2019040106

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Abstract

In order to make proper time-cost-quality decisions for projects, an improved particle swarm optimization algorithm is applied. First, the optimal model of project time-cost-quality is constructed considering all factors. Second, the basic theory of particle swarm algorithms is summarized, and the improved particle swarm algorithm is put forward based on vector principle, and then the rotational base technology is introduced into the improved particle swarm algorithm to construct a multiple objective optimization algorithm. Finally, the simulation analysis is carried out using a project as example, and the optimal parameters are obtained.

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