EDAS Yöntemi Kullanılarak Bir Tekstil Atölyesi İçin Dikiş Makinesi Seçimi - Sewing Machine Selection for a Textile Workshop by Using EDAS Method
نویسندگان
چکیده
منابع مشابه
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...
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In the real-world problems, we are likely confronted with some alternatives that need to be evaluated with respect to multiple conflicting criteria. Multi-criteria decision-making (MCDM) refers to making decisions in such a situation. There are many methods and techniques available for solving MCDM problems. The evaluation based on distance from average solution (EDAS) method is an efficient mu...
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Trinitrotoluene (TNT), a commonly used explosive for military and industrial applications, can cause serious environmental pollution. 28-day laboratory pot experiment was carried out applying bioaugmentation using laboratory selected bacterial strains as inoculum, biostimulation with molasses and cabbage leaf extract, and phytoremediation using rye and blue fenugreek to study the effect of thes...
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The relatively recent appearance of high-dimensional databases has made traditional search algorithms too expensive in terms of time and memory resources. Thus, several modifications or enhancements to local search algorithms can be found in the literature to deal with this problem. However, nondeterministic global search, which is expected to perform better than local, still lacks appropriate ...
متن کاملA Framework for Multi-model EDAs with Model Recombination
Estimation of Distribution Algorithms (EDAs) are evolutionary optimization methods that build models which estimate the distribution of promising regions in the search space. Conventional EDAs use only one single model at a time. One way to efficiently explore multiple areas of the search space is to use multiple models in parallel. In this paper, we present a general framework for both singlea...
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ژورنال
عنوان ژورنال: Journal of Business Research - Turk
سال: 2017
ISSN: 1309-0712
DOI: 10.20491/isarder.2017.266