Variants for the logarithmic-quadratic proximal point scalarization method for multiobjective programming
2018 ◽
Vol 11
(06)
◽
pp. 1850081
Keyword(s):
We consider the proximal point method for solving unconstrained multiobjective programming problems including two families of real convex functions, one of them defined on the positive orthant and used for modifying a variant of the logarithm-quadratic regularization introduced recently and the other for defining a family of scalar representations based on 0-coercive convex functions. We show convergent results, in particular, each limit point of the sequence generated by the method is a weak Pareto solution. Numerical results over fourteen test problems are shown, some of them with complicated pareto sets.
Keyword(s):
2019 ◽
Vol 75
(1)
◽
pp. 263-290
◽
2010 ◽
Vol 49
(2)
◽
pp. 281-291
◽
Keyword(s):
2005 ◽
Vol 17
(1-2)
◽
pp. 379-390
Keyword(s):
2009 ◽
Vol 160
(22)
◽
pp. 3309-3322
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