{"title":"Genetic Algorithms Multi-Objective Model for Project Scheduling","authors":"Elsheikh Asser","volume":96,"journal":"International Journal of Civil and Environmental Engineering","pagesStart":1446,"pagesEnd":1450,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9999947","abstract":"
Time and cost are the main goals of the construction
\r\nproject management. The first schedule developed may not be a
\r\nsuitable schedule for beginning or completing the project to achieve
\r\nthe target completion time at a minimum total cost. In general, there
\r\nare trade-offs between time and cost (TCT) to complete the activities
\r\nof a project. This research presents genetic algorithms (GAs) multiobjective
\r\nmodel for project scheduling considering different
\r\nscenarios such as least cost, least time, and target time.<\/p>\r\n","references":"[1] Liu, L., Burns, S., and Feng, C., \u201cConstruction Time-Cost Trade-Off\r\nAnalysis Using LP\/IP Hybrid Method,\u201d Journal of Construction\r\nEngineering and Management, ASCE, 121(4), 446-454, 1995.\r\n[2] Maghrebi, M., Afshar, A., and Maghrebi, M. J., \u201cA Novel Mathematical\r\nModel for Deterministic Time-cost Trade-off Based on Path Constraint,\u201d\r\nInternational Journal of Construction Engineering and Management\r\n2(5): 137-142, 2013.\r\n[3] Zheng, D., Ng, S. T., and Kumaraswamy, M., \u201cApplying a Genetic\r\nAlgorithm-Based Multiobjective Approach for Time-Cost\r\nOptimization,\u201d Journal of Construction Engineering and Management,\r\nASCE, 130(2), 168-176, 2004.\r\n[4] Forrest, S., \u201cGenetic Algorithms: Principles of Natural Selection\r\nApplied to Computation\u201d, Science 261, 1993.\r\n[5] Feng, C., Liu, L., and Burns, S., \u201cUsing genetic algorithms to solve\r\nconstruction time\u2013cost trade-off problems,\u201d ASCE Journal of\r\nComputing in Civil Engineering, 11(3), 184\u2013189, 1997.\r\n[6] Li, H., Cao, J.-N., and Love, P., \u201cUsing Machine Learning and GA to\r\nSolve Time-Cost Trade-Off Problems,\u201d Journal of Construction\r\nEngineering and Management, ASCE, 125(5), 347-353, 1999.\r\n[7] Hegazy, T., \u201cOptimization of construction time\u2013cost trade-off analysis\r\nusing genetic algorithms,\u201d Canadian Journal of Civil Engineer Vol. 26,\r\n685\u2013697, 1999.\r\n[8] Ammar, M. A., \u201cOptimization of project time-cost trade-off problem\r\nwith discounted cash flows,\u201d Journal of Construction Engineering and\r\nManagement, 137(1), 65-71, 2010.\r\n[9] Aghassi, H., et al., \u201ca multi-objective Genetic Algorithm for\r\noptimization time-cost trade-off scheduling,\u201d Knowledge Technology,\r\nSpringer, 356-359, 2012.\r\n[10] Ghoddousi, P., et al., \u201cMulti-mode resource-constrained discrete time\u2013\r\ncost-resource optimization in project scheduling using non-dominated\r\nsorting genetic algorithm,\u201d Automation in Construction, 216\u2013227, 2013.\r\n[11] Bettemir, \u00d6.H., \u201cExperimental Design for Genetic Algorithm Simulated\r\nAnnealing For Time Cost Trade-Off Problems,\u201d International Journal of\r\nEngineering & Applied Sciences (IJEAS) Vol.3, Issue 1, 15-26, 2011.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 96, 2014"}