کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
485937 703344 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using Genetic Algorithms for Maximizing Technical Efficiency in Data Envelopment Analysis
ترجمه فارسی عنوان
با استفاده از الگوریتم های ژنتیک برای به حداکثر رساندن بهره وری فنی در تجزیه و تحلیل پوشش داده ها؟
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

Data Envelopment Analysis (DEA) is a non-parametric technique for estimating the technical efficiency of a set of Decision Making Units (DMUs) from a database consisting of inputs and outputs. This paper studies DEA models based on maximizing technical efficiency, which aim to determine the least distance from the evaluated DMU to the production frontier. Usually, these models have been solved through unsatisfactory methods used for combinatorial NP-hard problems. Here, the problem is approached by metaheuristic techniques and the solutions are compared with those of the methodology based on the determination of all the facets of the frontier in DEA. The use of metaheuristics provides solutions close to the optimum with low execution time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 51, 2015, Pages 374-383