Kılıç, MuratUlusoy, GündüzŞerifoğlu, Funda Sivrikaya2021-06-232021-06-2320080925-52731873-7579https://doi.org/10.1016/j.ijpe.2006.08.027https://hdl.handle.net/20.500.12491/631211th International Conference on Industrial Engineering and Systems Management -- MAY 16-19, 2005 -- Marrakech, MOROCCOA problem of risk mitigation in project scheduling is formulated as a bi-objective optimization problem, where the expected makespan and the expected total cost are both to be minimized. The expected total cost is the sum of four cost components: overhead cost, activity execution cost, cost of reducing risks and penalty cost for tardiness. Risks for activities are predefined. For each risk at an activity, various levels are defined, which correspond to the results of different preventive measures. An MIP model and a heuristic solution approach based on genetic algorithms (GAs) is proposed. GAs provide a fast and effective solution approach to the problem. (c) 2007 Elsevier B.V. All rights reserved.eninfo:eu-repo/semantics/closedAccessProject SchedulingRiskMultiobjective OptimizationGenetic AlgorithmsConference Object10.1016/j.ijpe.2006.08.02711212022162-s2.0-38749119736Q1WOS:000253605200018Q1