کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
496621 | 862866 | 2011 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes MOX: A novel global optimization algorithm inspired from Oviposition site selection and egg hatching inhibition in mosquitoes](/preview/png/496621.png)
چکیده انگلیسی
In this paper, we describe a novel computational intelligence approach to numerical optimization for finding the global optima of a multidimensional function based upon biological inspirations drawn from the highly selective behavior of female mosquitoes in choosing a habitat to lay their eggs and the inhibition of those eggs to hatch into the next stage.1 Results of the proposed approach over a number of benchmark problems are also presented. Comparison of those results with existing methods in the literature clearly indicates the efficacy of the proposed scheme in maintaining a high success rate while reducing the number of function evaluations required to reach a goal value for an optimization problem.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 11, Issue 8, December 2011, Pages 4614–4625
Journal: Applied Soft Computing - Volume 11, Issue 8, December 2011, Pages 4614–4625
نویسندگان
Fayyaz ul Amir Afsar Minhas, Muhammad Arif,