OECD ÜLKELERİNİN TELEKOMÜNİKASYON SEKTÖRÜ AÇISINDAN SMAA-EDAS YÖNTEMİ İLE DEĞERLENDİRİLMESİ

SMAA: Enhanced Subpixel Morphological Antialiasing

We present a new image-based, post-processing antialiasing technique, which offers practical solutions to the common, open problems of existing filter-based real-time antialiasing algorithms. Some of the new features include local contrast analysis for more reliable edge detection, and a simple and effective way to handle sharp geometric features and diagonal lines. This, along with our acceler...

The SMAA-PROMETHEE method

PROMETHEEmethods are widely used in Multiple Criteria Decision Aiding (MCDA) to deal with real world decision making problems. In this paper, we propose to apply the Stochastic Multicriteria Acceptability Analysis (SMAA) to the family of PROMETHEEmethods in order to explore the whole set of parameters compatible with some preference information provided by the Decision Maker (DM). The applicati...

SMAA-GAIA: A Complementary Tool of the SMAA-PROMETHEE Method CoDE-SMG – Technical Report Series

Variance Scaling for EDAs Revisited

Estimation of distribution algorithms (EDAs) are derivativefree optimization approaches based on the successive estimation of the probability density function of the best solutions, and their subsequent sampling. It turns out that the success of EDAs in numerical optimization strongly depends on scaling of the variance. The contribution of this paper is a comparison of various adaptive and self...

JSMAA: an open source software for SMAA computations

Most software for Multiple Criteria Decision Analysis (MCDA) implement a small set of compatible methods in a closed monolithic software. Sometimes, however, the model can be generated through external information sources and therefore the supporting software should enable their integration. This paper motivates the need for model generation through existing applications of Stochastic Multicrit...