A finite nonadjacent extreme-point search algorithm for optimization over the efficient set
Journal of Optimization Theory and Applications
Reference point approximation method for the solution of bicriterial nonlinear optimization problems
Journal of Optimization Theory and Applications
Journal of Optimization Theory and Applications
Multiobjective Search Algorithm with Subdivision Technique
Computational Optimization and Applications
Diversity Maximization Approach for Multiobjective Optimization
Operations Research
A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems
INFORMS Journal on Computing
An Adaptive Scalarization Method in Multiobjective Optimization
SIAM Journal on Optimization
Practical Bilevel Optimization: Algorithms and Applications
Practical Bilevel Optimization: Algorithms and Applications
Finding representative systems for discrete bicriterion optimization problems
Operations Research Letters
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In recent years, emphasis has been placed on generating quality representations of the nondominated set of multiobjective optimization problems. This paper presents two methods for generating discrete representations with equidistant points for biobjective problems with solution sets determined by convex, polyhedral cones. The Constraint Controlled-Spacing method is based on the epsilon-constraint method with an additional constraint to control the spacing of generated points. The Bilevel Controlled-Spacing method has a bilevel structure with the lower-level generating the nondominated points and the upper-level controlling the spacing, and is extended to multiobjective problems. Both methods are proven to produce (weakly) nondominated points and are demonstrated on a variety of test problems.