Theorems of the alternative for multifunctions with applications to optimization: general results
Journal of Optimization Theory and Applications
A simplex algorithm for piecewise-linear programming 11: finiteness, feasibility and degeneracy
Mathematical Programming: Series A and B
A simplex algorithm for piecewise-linear programming III: computational analysis and application
Mathematical Programming: Series A and B
A Minimax Portfolio Selection Rule with Linear Programming Solution
Management Science
A Dynamic Domain Contraction Algorithm for Nonconvex Piecewise Linear Network Flow Problems
Journal of Global Optimization
Portfolio Optimization Under a Minimax Rule
Management Science
Multicriteria Optimization
Variable Disaggregation in Network Flow Problems with Piecewise Linear Costs
Operations Research
Adaptive dynamic cost updating procedure for solving fixed charge network flow problems
Computational Optimization and Applications
A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems
INFORMS Journal on Computing
Nonconvex, lower semicontinuous piecewise linear optimization
Discrete Optimization
Exact solution of multicommodity network optimization problems with general step cost functions
Operations Research Letters
A solution approach to the fixed charge network flow problem using a dynamic slope scaling procedure
Operations Research Letters
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In this paper we study piecewise linear multicriteria programs, that is, multicriteria programs with either a continuous or discontinuous piecewise linear objective function and a polyhedron set constraint. We obtain an algebraic representation of a semi-closed polyhedron and apply it to show that the image of a semi-closed polyhedron under a continuous linear function is always one semi-closed polyhedron. We establish that the (weak) Pareto solution/point set of a piecewise linear multicriteria program is the union of finitely many semi-closed polyhedra. We propose an algorithm for finding the Pareto point set of a continuous piecewise linear bi-criteria program and generalize it to the discontinuous case. We apply our algorithm to solve the discontinuous bi-criteria portfolio selection problem with an l∞ risk measure and transaction costs and show that this algorithm can be improved by using an ideal point strategy.