Construction Quality-Cost Trade-Off Using the Pareto-Based Ant Colony Optimization Algorithm

Author

Ning, Xin ; Wang, Li-Guo

Author_Institution

Sch. of Investment & Constr. Manage., Dongbei Univ. of Finance & Econ., Dalian, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

A successful construction project management aims to maximize construction quality, minimize construction cost, satisfy the finish deadline assigned by owners and stipulated in the contract. In the paper, a Pareto-based ant colony optimization (ACO) algorithm, which is an innovative algorithm to solve combinatorial optimization problem was firstly employed to solve two-dimensional quality-cost trade off problem in construction management. A case study was employed to verify the feasibility of the proposed Pareto-based ACO algorithm. The results showed it is feasible to use the Pareto-based ACO algorithm to solve the trade-off problems in the construction management.

Keywords

Pareto optimisation; construction industry; project management; Pareto-based ant colony optimization algorithm; combinatorial optimization problem; construction project management; construction quality-cost trade-off; two-dimensional quality-cost trade off problem; Ant colony optimization; Appraisal; Construction industry; Cost function; Finance; Financial management; Investments; Pareto optimization; Project management; Quality management;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5302127

Filename

5302127