A Nonlinear Weights Selection in Weighted Sum for Convex Multiobjective Optimization
نویسنده
چکیده
The weighted sum method of vector objective scalarization is known to generate points on convex Pareto front whose distribution cannot be controlled. This work presents a method of improving the distribution of Pareto points generated by weighted sum method by nonlinear weight selection. Numerical examples are presented to show the effectiveness of the method.
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