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 t...
In this paper, we developed a novel algorithmic approach for thesolution of multi-parametric non-con...
A Mathematical Program with Linear Complementarity Constraints (MPLCC) is an optimization problem wh...
AbstractThis paper considers the problem of optimizing a continuous nonlinear objective function sub...
In the paper we investigate the possibility of finding the Pareto set in combinatorial multicriteria...
Several aspects of multiple criteria optimization are investigated. First, sufficient conditions ar...
We describe a common extension of the fundamental theorem of Linear Programming on the existence of ...
In this paper, the Pareto solution set of a piecewise linear multiobjective optimization problem in ...
Computing the nondominated set of a multiple objective mathematical program has long been a topic in...
In this chapter, we investigate the smooth representation of the (weakly) efficient solution set of ...
AbstractMost of the analysis and algorithms for multiple objective linear programming have focused o...
We describe some first- and second-order optimality conditions for mathematical programs with equili...
We develop a duality theory for multiple objective linear programs which has several advantages in c...
We study the modeling of non-convex piecewise linear functions as Mixed Integer Programming (MIP) pr...
We propose a new approach to convex nonlinear multiobjective optimization that captures the geometry...
We present our view of the state of the art in continuous multiobjective programming. After an intro...
In this paper, we developed a novel algorithmic approach for thesolution of multi-parametric non-con...
A Mathematical Program with Linear Complementarity Constraints (MPLCC) is an optimization problem wh...
AbstractThis paper considers the problem of optimizing a continuous nonlinear objective function sub...
In the paper we investigate the possibility of finding the Pareto set in combinatorial multicriteria...
Several aspects of multiple criteria optimization are investigated. First, sufficient conditions ar...
We describe a common extension of the fundamental theorem of Linear Programming on the existence of ...
In this paper, the Pareto solution set of a piecewise linear multiobjective optimization problem in ...
Computing the nondominated set of a multiple objective mathematical program has long been a topic in...
In this chapter, we investigate the smooth representation of the (weakly) efficient solution set of ...
AbstractMost of the analysis and algorithms for multiple objective linear programming have focused o...
We describe some first- and second-order optimality conditions for mathematical programs with equili...
We develop a duality theory for multiple objective linear programs which has several advantages in c...
We study the modeling of non-convex piecewise linear functions as Mixed Integer Programming (MIP) pr...
We propose a new approach to convex nonlinear multiobjective optimization that captures the geometry...
We present our view of the state of the art in continuous multiobjective programming. After an intro...
In this paper, we developed a novel algorithmic approach for thesolution of multi-parametric non-con...
A Mathematical Program with Linear Complementarity Constraints (MPLCC) is an optimization problem wh...
AbstractThis paper considers the problem of optimizing a continuous nonlinear objective function sub...