Using Ant Colony Optimization algorithm for solving project management problems

Authors:
Hazem Abdallah;Hassan M. Emara;Hassan T. Dorrah;Ahmed Bahgat
Affiliations:
Cairo University, Automatic Control, 29 Eshreeny Street, Faculty of Engineering, P.O. Box 12613, Cairo, Makour Faysl, Giza 12111, Egypt;Cairo University, Automatic Control, 29 Eshreeny Street, Faculty of Engineering, P.O. Box 12613, Cairo, Makour Faysl, Giza 12111, Egypt;Cairo University, Automatic Control, 29 Eshreeny Street, Faculty of Engineering, P.O. Box 12613, Cairo, Makour Faysl, Giza 12111, Egypt;Cairo University, Automatic Control, 29 Eshreeny Street, Faculty of Engineering, P.O. Box 12613, Cairo, Makour Faysl, Giza 12111, Egypt
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

Network analysis provides an effective practical system for planning and controlling large projects in construction and many other fields. Ant Colony System is a recent approach used for solving path minimization problems. This paper presents the use of Ant Colony Optimization (ACO) system for solving and calculating both deterministic and probabilistic CPM/PERT networks. The proposed method is investigated for a selected case study in construction management. The results demonstrate that - compared to conventional methods - ACO can produce good optimal and suboptimal solutions.