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Abstract
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Article Information:
Solution for the Nonlinear Multi-Objective Model in Construction Projects Using Improved Particle Swarm Optimization
Lianying Zhang, Qiong Wu, Chen Chen and Yan Yue
Corresponding Author: Lianying Zhang
Submitted: January 28, 2012
Accepted: March 02, 2012
Published: October 01, 2012 |
Abstract:
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In project management, spending minimum time and cost while achieving maximum quality is of
great significance to its success. Consequently, it is vital to find an optimal equilibrium between the three
objectives of construction projects. To achieve this goal, this study presents an advanced nonlinear multiobjective
model to solve the time-cost-quality trade-off problem. We assume that the quality of an activity is
influenced by its duration and cost and quantify the quality of a project by calculating the mean of the quality
coefficients of all the activities. The concepts of value management are introduced to formulate the evaluation
function, so that the solutions are further optimized for project managers’ decision making. When solving the
model, an improved Particle Swarm Optimization (PSO) is developed by introducing genetic operators and
immune selection to the original PSO for higher efficiency and faster convergence. The efficiency and
reliability of the proposed algorithm in generating optimal solutions for the trade-off problems are demonstrated
through an application example.
Key words: Construction project , improved particle swarm optimization, multi-objective optimization, time-cost-quality trade-off , value management, ,
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Cite this Reference:
Lianying Zhang, Qiong Wu, Chen Chen and Yan Yue, . Solution for the Nonlinear Multi-Objective Model in Construction Projects Using Improved Particle Swarm Optimization. Research Journal of Applied Sciences, Engineering and Technology, (19): 3565-3573.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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