A modified weighted Tchebycheff metric for multiple objective programming
Computers and Operations Research
Nonconvex separation theorems and some applications in vector optimization
Journal of Optimization Theory and Applications
Norm-Based Approximation in Bicriteria Programming
Computational Optimization and Applications
Constrained optimization using multiple objective programming
Journal of Global Optimization
Visualizing the Pareto Frontier
Multiobjective Optimization
A Nonlinear Cone Separation Theorem and Scalarization in Nonconvex Vector Optimization
SIAM Journal on Optimization
A conic scalarization method in multi-objective optimization
Journal of Global Optimization
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We propose to use block norms to generate nondominated solutions of multiple criteria programs and introduce the new concept of the oblique norm that is specially tailored to handle general problems. We prove the equivalence of finding the properly nondominated solutions of a multiple criteria program and solving its scalarization by means of oblique norms.