Zobrazeno 1 - 10
of 30
pro vyhledávání: '"KUBAN ALTINEL"'
Publikováno v:
Networks, 81(4), 465-489. Wiley-Liss Inc.
© 2022 Wiley Periodicals LLC.We focus on an extension of the maximum weight perfect matching problem with additional disjunctive conflict constraints in conjunction with the degree and binary restrictions. Given a simple graph with a nonnegative wei
Publikováno v:
In Computers and Operations Research December 2013 40(12):3056-3068
Publikováno v:
In Computers and Operations Research February 2012 39(2):437-448
Publikováno v:
In Ad Hoc Networks 2010 8(6):654-667
Publikováno v:
In Computational Statistics and Data Analysis 2006 50(11):3099-3112
Autor:
Öncan, Temel, Kuban Altınel, İ.
Publikováno v:
In Electronic Notes in Discrete Mathematics February 2018 64:5-14
Publikováno v:
Computers & Chemical Engineering. 21:S673-S678
In this work, the mathematical programming model for optimal scheduling of the operations of a batch processing chemical plant, capable to handle all possible deterministic and many stochastic variations in the set-up and operation times of the batch
Autor:
Süleyman Özekici, I. Kuban Altinel
Publikováno v:
Naval Research Logistics. 44:187-197
We consider the component testing problem of a system where the main feature is that the component failure rates are not constant parameters, but they change in a dynamic fashion with respect to time. More precisely, each component has a piecewise-co
Parametric distance functions vs. nonparametric neural networks for estimating road travel distances
Publikováno v:
European Journal of Operational Research. 93:230-243
Measuring and storing actual road travel distances between the points of a region is often not feasible and it is a common practice to estimate them. The usual approach is to use distance estimators which are parameterized functions of the coordinate
Publikováno v:
Computers & Chemical Engineering. 20:S1191-S1196
In this work, a mathematical programming model for optimal scheduling of the operations of a batch processing chemical plant is developed. The model is capable to handle all possible deterministic variations in the set-up and operation times of batch