Using Ant Colony Optimization for Improving Planning and Programming of Project Construction
This paper proposes a new optimization technique based on the ant colony algorithm for solving optimization problems in construction project management. A ant colony can be described as a group of individuals using direct and indirect communication to act without central command with high efficiency in problem solving. Ant colony is extremely efficient due to a sophisticated form of selforganization is based on an indirect communication between its members. This communication is both between the members and their environment. The ant behavior leads to repeatedly finding near optimum strategies in food supply, logistics and formicary construction. This paper will further study the differences between construction intelligence and swarm intelligence and discuss the possibilities to adapt this evolution to systems and problems of construction processes. the principles of the existing ant algorithms and simulation tools of construction can be used in construction as well. In case of disturbances fast reorganization of processes can be developed using the algorithm. Any self-organizing system relies on frequent measurement, rapid distribution of information and near optimum reactions. By improving the related abilities construction can be made more transparent and goal-oriented.
ant colony optimization planning and programming of project construction (PPPC) multi-objective optimization model
HAN Bingxue GUAN Ming
School of Urban Planning and Environment Science,Xuchang University, Xuchang, Henan, Chian 461000 School of Economics and Management, Xuchang University, Xuchang, Henan, China 461000
国际会议
2009 International Conference on Construction & Real Estate Management(2009建设与房地产管理国际会议)
北京
英文
263-267
2009-11-05（万方平台首次上网日期，不代表论文的发表时间）