Suchergebnisse - Multiple-objective mathematical programming

Optimizing Chance Constraint Multiple-Objective Fractional Mathematical Programming Problem Involving Dependent Random Variable von BELAY, BERHANU, ACHARYA, SRIKUMAR

“… This manuscript suggests a methodology to solve chance constraint multiple-objective linear fractional mathematical programming problem in which the parameters are dependent random variables to each …”
Volltext

Measuring the quality of discrete representations of efficient sets in multiple objective mathematical programming von SAYIN, S

Volltext

A comparison of two reference point methods in multiple objective mathematical programming von Buchanan, John, Gardiner, Lorraine

“… In multiple objective mathematical programming, solution methods based on aspiration points can generate nondominated solutions using a variety of scalarizing functions …”
Volltext

A Bibliography on the Applications of Mathematical Programming Multiple-objective Methods von White, D. J.

“… This paper gives a bibliography on applications of multiple-objective methods which use no a priori explicit value function and are complex enough to require mathematical programming aids …”
Volltext

An interactive weight space reduction procedure for nonlinear multiple objective mathematical programming von Mackin, Patrick D., Roy, Asim, Wallenius, Jyrki

“… In this paper we present an interactive method and the underlying theory for solving multiple objective mathematical programming problems defined by a convex feasible region and concave, continuously …”
Volltext

Comparative studies in interactive multiple objective mathematical programming von Aksoy, Yasemin, Butler, Timothy W., Minor, Elliott D.

“… In the past two decades, there has been a significant increase in the number of interactive algorithms proposed for solving multiple objective mathematical programming (MOMP) problems …”
Volltext

Towards finding global representations of the efficient set in multiple objective mathematical programming von Benson, Harold P., Sayin, Serpil

“… This procedure illustrates the potential benefits to be gained from procedures for globally representing efficient sets in multiple objective mathematical programming. © 1997 …”
Volltext

Genetic algorithmic based approach for multiple-objective probabilistic fractional programming problem involving discrete random variables von Belay, Berhanu, Abebaw, Adane

“… This manuscript presents a technique for solving a multiple-objective probabilistic fractional programming problem with discrete random variables …”
Volltext

New Closedness Results for Efficient Sets in Multiple Objective Mathematical Programming von Benson, Harold P., Sun, Erjiang

“… There are various theoretical, algorithmic, and practical reasons for developing necessary and sufficient conditions for the efficient set of a multiple objective mathematical programming problem (P) to be closed …”
Volltext

Multiple Objectives Mathematical Programming Using Payoff Techniques von Singh, Amanpreet, Kumar, Sandeep

“… Optimization is a decision Science which helps managements to take better decisions and refers to finding the values of decision (or free) variables. It is …”
Volltext

A new algorithm for generating all nondominated solutions of multiobjective discrete optimization problems von Kirlik, Gokhan, Sayın, Serpil

“… Therefore, several studies have been presented in the literature that use multiple objectives in decision models …”
Volltext

Equivalence between polyhedral projection, multiple objective linear programming and vector linear programming von Lohne, Andreas, Weising, Benjamin

“… This problem, called polyhedral projection problem, is shown to be equivalent to multiple objective linear programming …”
Volltext

The ‘Light Beam Search’ approach – an overview of methodology applications von Jaszkiewicz, Andrzej, Słowiński, Roman

“… LBS enables an interactive analysis of multiple-objective decision problems due to presentation of samples of a large set of non-dominated points, to the decision maker (DM) in each iteration …”
Volltext

Measuring the quality of discrete representations of efficient sets in multiple objective mathematical programming von Sayın, Serpil

Volltext

Exact algorithm for bi-objective 0-1 knapsack problem von Jolai, Fariborz, Rezaee, M.J., Rabbani, M., Razmi, J., Fattahi, Pariviz

“… In this paper, we propose a new procedure based on linear mathematical programming formulation to find all efficient solutions of bi-objective 0-1 knapsack problem …”
Volltext

Finding efficient solutions in robust multiple objective optimization with SOS-convex polynomial data von Jiao, Liguo, Lee, Jae Hyoung

“… In this article, a mathematical programming problem under affinely parameterized uncertain data with multiple objective functions given by SOS-convex polynomials, denoting by (UMP), is considered …”
Volltext

Order assignment considering buyer, third-party logistics provider, and suppliers von Woo, Hong Seng, Saghiri, Soroosh

“… This paper presents a fuzzy multiple-objective mixed-integer programming model that tackles some different features of order assignment problems by considering vague aspects of such decision-making …”
Volltext

Saddle points and scalarizing sets in multiple objective linear programming von Gourion, Daniel, Luc, Dinh The

“… The main purpose of this paper is to study saddle points of the vector Lagrangian function associated with a multiple objective linear programming problem …”
Volltext

A multi-objective optimization strategy of steam power system to achieve standard emission and optimal economic by NSGA- von Xiao, Wu, Cheng, Andi, Li, Shuai, Jiang, Xiaobin, Ruan, Xuehua, He, Gaohong

“… Then, based on this combined superstructure model, a mathematical formulation of multiple objective mixed integer nonlinear programming describing the SPS coupled with desulfurization …”
Volltext

Multiple objective linear programming models with interval coefficients – an illustrated overview von Oliveira, Carla, Antunes, Carlos Henggeler

“… This paper provides an illustrated overview of the state of the art of Interval Programming in the context of multiple objective linear programming models …”
Volltext