Search Results - Multiple-objective mathematical programming

Optimizing Chance Constraint Multiple-Objective Fractional Mathematical Programming Problem Involving Dependent Random Variable by 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…”
Get full text

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

Get full text

A comparison of two reference point methods in multiple objective mathematical programming by 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…”
Get full text

A Bibliography on the Applications of Mathematical Programming Multiple-objective Methods by 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…”
Get full text

An interactive weight space reduction procedure for nonlinear multiple objective mathematical programming by 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…”
Get full text

Comparative studies in interactive multiple objective mathematical programming by 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…”
Get full text

Towards finding global representations of the efficient set in multiple objective mathematical programming by 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…”
Get full text

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

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

New Closedness Results for Efficient Sets in Multiple Objective Mathematical Programming by 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…”
Get full text

Multiple Objectives Mathematical Programming Using Payoff Techniques by 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…”
Get full text

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

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

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

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

The ‘Light Beam Search’ approach – an overview of methodology applications by 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…”
Get full text

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

Get full text

Exact algorithm for bi-objective 0-1 knapsack problem by 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…”
Get full text

Finding efficient solutions in robust multiple objective optimization with SOS-convex polynomial data by 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…”
Get full text

Order assignment considering buyer, third-party logistics provider, and suppliers by 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…”
Get full text

Saddle points and scalarizing sets in multiple objective linear programming by 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…”
Get full text

A multi-objective optimization strategy of steam power system to achieve standard emission and optimal economic by NSGA- by 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…”
Get full text

Multiple objective linear programming models with interval coefficients – an illustrated overview by 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…”
Get full text