Displaying similar documents to “A logarithmic barrier function method for solving nonlinear multiobjective programming problems”

Multiparametric linear fractional functionals programming.

Shyam S. Chadha (1989)

Trabajos de Investigación Operativa

Similarity:

In this paper a multiparametric linear fractional functionals program, with parameters appearing only in the objective function, is generated. The optimum solution of this parametric program is supposed to satisfy the constraints as equations only. It is also shown that the set of parameters forms a convex polyhedron.

An Algorithm For Solving Multiple Objective Integer Linear Programming Problem

Moncef Abbas, Djamal Chaabane (2010)

RAIRO - Operations Research

Similarity:

In the present paper a complete procedure for solving Multiple Objective Integer Linear Programming Problems is presented. The algorithm can be regarded as a corrected form and an alternative to the method that was proposed by Gupta and Malhotra. A numerical illustration is given to show that this latter can miss some efficient solutions. Whereas, the algorithm stated bellow determines all efficient solutions without missing any one.

An algorithm for multiparametric 0-1-Integer Programming problems relative to a generalized min max objective function

José Luis Quintero, Alejandro Crema (2009)

RAIRO - Operations Research

Similarity:

The multiparametric 0-1-Integer Programming (0-1-IP) problem relative to the objective function is a family of 0-1-IP problems which are related by having identical constraint matrix and right-hand-side vector. In this paper we present an algorithm to perform a complete multiparametric analysis relative to a generalized min max objective function such that the min sum and min max are particular cases.

An analysis of selection sort using recurrence relations.

Francesc J. Ferri, Jesús Albert (1996)

Qüestiió

Similarity:

This paper presents a method for obtaining the expected number of data movements executed by the well-known Selection sort algorithm along with its corresponding variance. The approach presented here requires hardly any specific mathematical background. In particular, the average-case cost and variance are represented using recurrence relations whose solutions lead to the desired results. Even though this method is not applicable in general, it serves to conveniently present average-case...