TY - JOUR ID - 63178 TI - Three Developed Meta-heuristic Algorithms to Solve RACP Minimizing Makespan and Total Resource Costs Simultaneously JO - Advances in Industrial Engineering JA - AIE LA - en SN - AU - Najafi, Amir Abbas AU - Arjmand, Masoud AD - Faculty of Industrial Engineering, Khajeh Nasir Toosi University of Technology, Tehran, Iran Y1 - 2016 PY - 2016 VL - 50 IS - 3 SP - 471 EP - 482 KW - MOPSO KW - Multi-objective optimization KW - NSGA-II KW - RACP KW - RCPSP DO - 10.22059/jieng.2016.63178 N2 - In this paper, a bi-objective resource availability cost problem (RACP) is studied, in which the first objective function tries to minimize the completion time of the project, and the second one tries to minimize the total resource costs. Due to the problem complexity, three developed meta-heuristic algorithms, namely NSGA-II and NRGA and MOPSO, are applied to solve the model. To evaluate the algorithms, a set of tests’ problem are considered. In addition, a MADM approach called TOPSIS is employed to compare the algorithms' results. Finally, the sensitivity analysis in terms of problem’s performance is fulfilled. UR - https://aie.ut.ac.ir/article_63178.html L1 - https://aie.ut.ac.ir/article_63178_ffe698baa7942ed5ca551d159e7a4bb9.pdf ER -