APPLYING THE SHUFFLED FROG-LEAPING ALGORITHM TO IMPROVE SCHEDULING OF CONSTRUCTION PROJECTS WITH ACTIVITY SPLITTING ALLOWED misbe2011 Tracking Number 246Presentation: Session: General Paper Session W65 - Innovation in construction (theories and best practices) Room: Court Room Session start: 09:00 Wed 22 Jun 2011 Mehdi Tavakolan mt2568@columbia.edu Affifliation: Ph.D. Candidate in Columbia University Baabak Ashuri baabak.ashuri@coa.gatech.edu Affifliation: Assistant Professor, School of Building Construction, Director, Economics of the Sustainable Built Environment (ESBE) Lab, Georgia Institute of Technology Nicola Chiara nc2112@caa.columbia.edu Affifliation: Assistant Professor, Dept. of Civil Engineering and Engineering Mechanics, Columbia University Topics: - Planning for sustainable urban areas (General Themes), - New technologies in planning (General Themes) Abstract: In situation of contractors competing to finish a given project with the least duration and cost, acquiring the ability to improve the project quality properties seems essential for project managers. Evolutionary Algorithm (EAs) have been applied as suitable algorithms to develop the multi-objective Time-Cost trade-off Optimization (TCO) and Time-Cost-Resource Optimization (TCRO) in the past few decades ; however, by improving EAs, the Shuffled Frog Leaping Algorithm (SFLA) has been introduced as an algorithm capable of achieving a better solution with faster convergence. Furthermore, considering splitting in execution of activities can make models closer to approximating real projects. One example has been used to demonstrate the impact of SFLA and splitting on the results of the model and to compare with previous algorithms. Current research has elucidated that SFLA improves final results and splitting allows the model find suitable solutions. |