Conic Scalarization Method in Multiobjective Optimization and Relations with Other Scalarization Methods
نویسندگان
چکیده
The paper presents main features of the conic scalarization method in multiobjective optimization. The conic scalarization method guarantee to generate all proper efficient solutions and does not require any kind of cenvexity or boundedness conditions. In addition the preference and reference point information of the decision maker is taken into consideretion by this method. Also in this paper, relations with other scalarization methods are investigeted and it is shown that the conic scalarization method is a generalization of the Benson's and PascolettiSerafini scalarization methods.
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