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

被引：3

作者：

Song, Yanqing ^{[1
]}

Hou, Genran ^{[1
]}

机构：

[1] Yellow River Conservancy Tech Inst, Kaifeng, Peoples R China

来源：

INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT | 2019年 / 12卷 / 02期

关键词：

Improved Particle Swarm Algorithm; Optimization; Particle Swarm Algorithm; Time-Cost-Quality Optimization; MODEL;

D O I：

10.4018/IJISSCM.2019040106

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

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.

引用

页码：76 / 88

页数：13

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