کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
393286 665630 2015 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Global minimum routing in evolutionary programming using fuzzy logic
ترجمه فارسی عنوان
حداقل مسیریابی جهانی در برنامه نویسی تکاملی با استفاده از منطق فازی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

It is well known that one of the basic advantages of evolutionary programming is in deciding the most suitable place for breeding offspring and finding the route toward the global minimum. To reach this goal, the algorithm needs to estimate the coordinates of the global minimum and then steer the new point toward it. In this paper, the estimation of the global minimum is calculated by weighted mean coordination of individuals (WMP), and then a road is mapped between the coordinates of the parents and the WMP. In the proposed method, fuzzy logic is used for deciding on the road and the best coordination to breed offspring. The proposed algorithm is tested on 65 well-known cost functions and is compared with five algorithms inside the EP family. In the next section of the paper, the algorithm is tested on the high-dimensional problem of modeling ozone layer data, which includes almost 26,000 unknown parameters. The results demonstrate the capability of the proposed method in having acceptable speed and accuracy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 292, 20 January 2015, Pages 162–174
نویسندگان
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