Results 241 to 250 of about 397,584 (291)
Some of the next articles are maybe not open access.

Multi-Objective Programming and Goal Programming

2003
This book gives the reader an insight into the state of the art in the fieldĀ of multiobjective (linear, nonlinear and combinatorial) programming, goal programming and multiobjective metaheuristics. The 26 papers describe all relevant trendsĀ in this fields of research .
Tetsuzo Tanino   +2 more
openaire   +1 more source

Support vector machines using multi objective programming and goal programming

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., 2004
Support vector machines (SVMs) are now thought as a powerful method for solving pattern recognition problems. SVMs are usually formulated as quadratic programming. Using another distance function, SVMs are formulated as linear programming. SVMs generally tend to make overlearning.
H. Nakayama, T. Asada
openaire   +1 more source

On the fuzzy multi-objective linear programming problem: Goal programming approach

Fuzzy Sets and Systems, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

A fuzzy goal programming approach to multi-objective optimization problem with priorities

European Journal of Operational Research, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chao-Fang Hu   +2 more
openaire   +1 more source

Application of goal programming in a multi-objective reservoir operation model in Tunisia

European Journal of Operational Research, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ben Abdelaziz Foued, Mejri Sameh
openaire   +1 more source

Multi-Objective and Goal-Programming Approaches as a Distance Function Model

Journal of the Operational Research Society, 1985
This note shows that virtually all the multi-objective and goal- programming approaches can be thought of as special cases of a general distance-function model. Although the outcome of this paper cannot be considered completely new, it can, however, help increasing conceptual clarity and precision in future dialogue, showing the actual links between ...
openaire   +2 more sources

Neutrosophic goal programming strategy for multi-level multi-objective linear programming problem

Journal of Ambient Intelligence and Humanized Computing, 2019
Neutrosophic set theory plays an important role in dealing with the impreciseness and inconsistency in data encountered in solving real life problems. This article aims to present a novel goal programming based strategy which will be helpful to solve Multi-Level Multi-Objective Linear Programming Problem (MLMOLPP) with parameters as neutrosophic ...
Indrani Maiti   +2 more
openaire   +1 more source

Modified goal programming approach for solving multi-objective environmental management problem

Annals of Operations Research, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sujeet Kumar Singh, Vinay Yadav
openaire   +1 more source

Multi Objective Capital Structure Modelling: A Goal Programming Approach

SSRN Electronic Journal, 2010
Capital structure decisions have become complex in the changing business paradigm. The evaluation techniques used for capital structure decisions by the theories and models developed in the 1950s have lost their relevance due to changes over the years. Capital is still scarce despite financial liberalization and globalization.
K. C. Iyer   +2 more
openaire   +1 more source

Stable Matching with Multi-objectives: A Goal Programming Approach

2017
Stability in matching has been well studied in the literature. In practice, there are many matching applications where along with stability, other measures such as equity, welfare, costs, etc. are also important. We propose a goal programming based approach for finding a Stable Matching (SM) solution with multi-objectives such as equity and welfare ...
Mangesh Gharote   +3 more
openaire   +1 more source

Home - About - Disclaimer - Privacy