کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6862094 | 1439263 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A bilevel improved fruit fly optimization algorithm for the nonlinear bilevel programming problem
ترجمه فارسی عنوان
الگوریتم بهینه سازی میوه ها برای مسئله برنامه نویسی سطوح غیرخطی بهبود یافته است
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
This paper proposes a bilevel improved fruit fly optimization algorithm (BIFOA) to address the nonlinear bilevel programming problem (NBLPP). Considering the hierarchical nature of the problem, this algorithm is constructed by combining two sole improved fruit fly optimization algorithms. In the proposed algorithm, the lower level problem is treated as a common nonlinear programming problem rather than being transformed into the constraints of the upper level problem. Eventually, 10 test problems are selected involving low-dimensional and high-dimensional problems to evaluate the performance of BIFOA from the aspects of the accuracy and stability of the solutions. The results of extensive numerical experiments and comparisons reveal that the proposed algorithm outperforms the compared algorithms and is significantly better than the methods presented in the literature; the proposed algorithm is an effective and comparable algorithm for NBLPP.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 138, 15 December 2017, Pages 113-123
Journal: Knowledge-Based Systems - Volume 138, 15 December 2017, Pages 113-123
نویسندگان
Wang Guangmin, Ma Linmao, Chen Jiawei,