How to cite this paper
Bashiri, M & AliAskari, E. (2014). A permutation decision making method with multiple weighting vectors of criteria using NSGA-II and MOPSO.Decision Science Letters , 3(2), 197-208.
Refrences
A. Tabriz, A., Ahmadi, A., Maleki, M. H., Afshari, M. A. & S. Moradi, J. (2011). Applying Pareto multi-criteria decision making in concurrent engineering: A case study of polyethylene industry. Management Science Letters, 1, 289–294.
Ancot, J., & Paelinck, J. H. P. (1982). Recent experiences with the Qualiflex multicriteria method. Qualitative and Quantitative Mathematical Economics. Martinus Nijhoff Publishers, 217-266.
Bashiri, M., Jalili, M. (2010). Interactive permutation decision making based on genetic algorithm. Proceedings of the IEEE IEEM, 84-88.
Blair, R., & Karnisky, W. (1994). Distribution-free statistical analysis of surface and volumetric maps. Brain Topography, 6, 19-28.
Coello Coello, C. A., Pulido, G. T. & Lechuga, M. S. (2004). Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8, No. 3, 256-279.
Chen, T., & Wang, J. (2009). Interval-valued fuzzy permutation method and experimental analysis on cardinal and ordinal evaluations. Journal of Computer and System Sciences, 75, 371-387.
Yeh, C. H. & Xu, Y. (2013). Sustainable planning of e-waste recycling activities using fuzzy multicriteria decision making. Journal of Cleaner Production, 52, 194-204.
Van Veldhuizen D. A. & Gary B. Lamont, G. B. (1998). Multi-objective evolutionary algorithm research: A history and analysis. Technical Report, Air Force Institute of Technology, Wright-Patterson AFB, OH, TR-98-03.
Deb, K., Pratap, A., Agarwal, S. & Meyarivan, T. (2002). A fast and elitist multi-objective genetic algorithm. NSGA–II. IEEE Transactions on Evolutionary Computation, 6, 182–197.
Zavadskas, E.K., Turskis, Z. & Tamosaitiene, J. (2011). Selection of construction enterprises management strategy based on the SWOT and multi-criteria analysis. Archives of Civil and Mechanical Engineering, 11, Pages 1063–1082.
Fallah-Mehdipour, E., Bozorg Haddad, O., Rezapour Tabari, M.M. & Marino, M. A., (2012). Extraction of decision alternatives in construction management projects: Application and adaptation of NSGA-II and MOPSO. Expert Systems with Applications, 39, 2794–2803.
Moslehi, G. & Mahnam, M. (2011). A Pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search. International Journal of Production Economics, 129, 14–22.
Xu, J. & Zongmin Li, Z. (2012). Multi-objective dynamic construction site layout planning in fuzzy random environment. Journal of Automation in Construction, 27 155–169.
Karimi, H. & Rezaeinia, A. (2011) Adjusted permutation method for multiple attribute decision making with meta-heuristic solution approaches. International Journal of Industrial Engineering Computations, 2, 369-384.
Bashiri, M., Koosha, M. & Karimi, H. (2012). Permutation based decision making under fuzzy environment using Tabu search. International Journal of Industrial Engineering Computations, 3, 301–312.
Momenia, M., Mehrabioun Mohammadia, M., Malekia, M. H. & Afsharib, M. A. (2011). Clustering economies based on multiple criteria decision making techniques. Journal of Management Science Letters, 1, 487–492.
Chatterjee, N. C. & Bose, K. B. (2012). A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm. Decision Science Letters, 2, 1–10.
Paelinck, J. (1977), Qualitative multiple criteria analysis: an application to airport location. En & apos; liironment and Planning, 9, 695-893.
Rinnooy Kan, A. H. G. (1976). Machine scheduling problems, classification, complexity and computations. Nijhoff, The Hague.
Dehuri, S. & Cho, S. B. (2009). Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art. Computer Science Review, 3, 19-40.
Tavana, M. & Zandi, F. (2012). Applying fuzzy bi-dimensional scenario-based model to the assessment of Mars mission architecture scenarios. Journal of Advances in Space Research, 49, 629–647.
Athawalea, V. M. & Chakrabortyb, S. (2011). A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection. International Journal of Industrial Engineering Computations, 2, 831–850.
Ding, Y. S., Hu, Z. H. & Zhang, W. B. (2011). Multi-criteria decision making approach based on immune co-evolutionary algorithm with application to garment matching problem. Expert Systems with Applications, 38, 10377–10383.
Ancot, J., & Paelinck, J. H. P. (1982). Recent experiences with the Qualiflex multicriteria method. Qualitative and Quantitative Mathematical Economics. Martinus Nijhoff Publishers, 217-266.
Bashiri, M., Jalili, M. (2010). Interactive permutation decision making based on genetic algorithm. Proceedings of the IEEE IEEM, 84-88.
Blair, R., & Karnisky, W. (1994). Distribution-free statistical analysis of surface and volumetric maps. Brain Topography, 6, 19-28.
Coello Coello, C. A., Pulido, G. T. & Lechuga, M. S. (2004). Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8, No. 3, 256-279.
Chen, T., & Wang, J. (2009). Interval-valued fuzzy permutation method and experimental analysis on cardinal and ordinal evaluations. Journal of Computer and System Sciences, 75, 371-387.
Yeh, C. H. & Xu, Y. (2013). Sustainable planning of e-waste recycling activities using fuzzy multicriteria decision making. Journal of Cleaner Production, 52, 194-204.
Van Veldhuizen D. A. & Gary B. Lamont, G. B. (1998). Multi-objective evolutionary algorithm research: A history and analysis. Technical Report, Air Force Institute of Technology, Wright-Patterson AFB, OH, TR-98-03.
Deb, K., Pratap, A., Agarwal, S. & Meyarivan, T. (2002). A fast and elitist multi-objective genetic algorithm. NSGA–II. IEEE Transactions on Evolutionary Computation, 6, 182–197.
Zavadskas, E.K., Turskis, Z. & Tamosaitiene, J. (2011). Selection of construction enterprises management strategy based on the SWOT and multi-criteria analysis. Archives of Civil and Mechanical Engineering, 11, Pages 1063–1082.
Fallah-Mehdipour, E., Bozorg Haddad, O., Rezapour Tabari, M.M. & Marino, M. A., (2012). Extraction of decision alternatives in construction management projects: Application and adaptation of NSGA-II and MOPSO. Expert Systems with Applications, 39, 2794–2803.
Moslehi, G. & Mahnam, M. (2011). A Pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search. International Journal of Production Economics, 129, 14–22.
Xu, J. & Zongmin Li, Z. (2012). Multi-objective dynamic construction site layout planning in fuzzy random environment. Journal of Automation in Construction, 27 155–169.
Karimi, H. & Rezaeinia, A. (2011) Adjusted permutation method for multiple attribute decision making with meta-heuristic solution approaches. International Journal of Industrial Engineering Computations, 2, 369-384.
Bashiri, M., Koosha, M. & Karimi, H. (2012). Permutation based decision making under fuzzy environment using Tabu search. International Journal of Industrial Engineering Computations, 3, 301–312.
Momenia, M., Mehrabioun Mohammadia, M., Malekia, M. H. & Afsharib, M. A. (2011). Clustering economies based on multiple criteria decision making techniques. Journal of Management Science Letters, 1, 487–492.
Chatterjee, N. C. & Bose, K. B. (2012). A COPRAS-F base multi-criteria group decision making approach for site selection of wind farm. Decision Science Letters, 2, 1–10.
Paelinck, J. (1977), Qualitative multiple criteria analysis: an application to airport location. En & apos; liironment and Planning, 9, 695-893.
Rinnooy Kan, A. H. G. (1976). Machine scheduling problems, classification, complexity and computations. Nijhoff, The Hague.
Dehuri, S. & Cho, S. B. (2009). Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art. Computer Science Review, 3, 19-40.
Tavana, M. & Zandi, F. (2012). Applying fuzzy bi-dimensional scenario-based model to the assessment of Mars mission architecture scenarios. Journal of Advances in Space Research, 49, 629–647.
Athawalea, V. M. & Chakrabortyb, S. (2011). A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection. International Journal of Industrial Engineering Computations, 2, 831–850.
Ding, Y. S., Hu, Z. H. & Zhang, W. B. (2011). Multi-criteria decision making approach based on immune co-evolutionary algorithm with application to garment matching problem. Expert Systems with Applications, 38, 10377–10383.