Applying an Ant Colony Optimization Algorithm-Based Multiobjective Approach for Time–Cost Trade-Off

The time–cost trade-off is among the most crucial aspects of construction project planning, which in fact is a combinatorial optimization problem. This note used an evolutionary algorithm—ant colony optimization (ACO) algorithm to deal with the time–cost trade-off problem. Along with the modified adaptive weight approach, the ACO algorithm can determine the optimal solutions, and define the Pareto front as well. Development of the ACO-based multiobjective approach herein offers an attractive alternative to solving construction time–cost optimization.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8675438
• Supplemental Notes:
  • Abstract reprinted with permission from ASCE
• Authors:
  • Xiong, Ying
  • Kuang, Yaping
• Publication Date: 2008-2

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 153-156
• Serial:
  • Journal of Construction Engineering and Management
  • Volume: 134
  • Issue Number: 2
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-9364
  • EISSN: 1943-7862
  • Serial URL: http://ascelibrary.org/journal/jcemd4

Subject/Index Terms

• TRT Terms: Algorithms; Construction industry; Construction projects; Cost control; Project management; Time management
• Uncontrolled Terms: Ant colony optimization; Construction costs
• Subject Areas: Administration and Management; Construction; Highways; Planning and Forecasting; I50: Construction and Supervision of Construction; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01088946
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 25 2008 2:37PM