PDFAbstract: We propose a hybrid method using interactive multi-criteria programming and minimum cost flow optimization to make a useful schedule for waterworks. In case of constructing a mathematical model, it is difficult to adjust the method parameters in the actual application, and to make the user satisfied with the solution under the predetermined parameters. In our research, the parameters are generated automatically based on the
Keywords: electric vehicle, energy resurrection, limitation of battery capacity, maximization of traveling point, round cost, monotonic increase REFERENCES [1] H. Kurisu, T.Nishiya, N.Tachi, H.Adachi, “A Dynamic Distribution Method Composed of Mathematical Programming and Heuristic Method and Its Application to Water Management”, Transactions of the Society of Instrument and Control Engineers, Vol. 30, No.2, pp.198-207, 1994 [1] H. Kurisu, T.Nishiya, N.Tachi, H.Adachi, “A Dynamic Distribution Method Composed of Mathematical Programming and Heuristic Method and Its Application to Water Management”, Transactions of the Society of Instrument and Control Engineers, Vol. 30, No.2, pp.198-207, 1994 [2] A. V Goldberg, “An Efficient Implementation of a Scaling Minimum-Cost Flow Algorithm”, Journal of Algorithms, Vol.22, Issue 1, pp.1-29, 1997 [3] K. Paparrizos, N. Samaras, A. Sifaleras, “An exterior simplex type algorithm for the Minimum Cost Network Flow Problem”, Computers & Operations Research, Vol.36, Issue 4, pp.1176-1190, 2009 [4] Y. Boykov, V. Kolmogorov, “An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision”, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 26, Issue 9, pp.1124-1137, 2004 [5] H. Wallenius, “Implementing Interactive Multiple Criteria Decision Methods in Public Policy”, University of Jyvaskyla, pp.30-58, 1991 [6] T. Alexandra, “The Multiple Criteria Transportation Model”, WSEAS AAMCIS, Vol.1, pp.45-49, 2009 [7] A. M. Moradi, M. Akhtarkavan, “Multiple Criteria Evaluation of Sustainable Adaptation Alternatives by Special Attention to Energy & Environment”, WSEAS International Conf. on CUHT'08, pp.37-42, 2008 [8] R. Kasimbeyli, “Computing Efficient Solutions of Nonconvex Multi-Objective Problems via Scalarization”, WSEAS Recent Advances in Signal Processing, Computational Geometry and Systems Theory, pp.193-197, 2011
Cite this paper
Teruji Sekozawa. (2016) Multi-Objective Planning Method for Flexible Adjustment to the Aspiration Levels of Water Supply System Designers. Environmental Science, 1 , 238-243
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