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Journal of Computer and Robotics، جلد ۵، شماره ۲، صفحات ۱-۶
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Augmented Downhill Simplex a Modified Heuristic Optimization Method |
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| چکیده انگلیسی مقاله |
Augmented Downhill Simplex Method (ADSM) is introduced here, that is a heuristic combination of Downhill Simplex Method (DSM) with Random Search algorithm. In fact, DSM is an interpretable nonlinear local optimization method. However, it is a local exploitation algorithm; so, it can be trapped in a local minimum. In contrast, random search is a global exploration, but less efficient. Here, random search is considered as a global exploration operator in combination with DSM as a local exploitation method. Thus, presented algorithm is a derivative-free, fast, simple and nonlinear optimization method that is easy to be implemented numerically. Efficiency and reliability of the presented algorithm are compared with several other optimization methods, namely traditional downhill simplex, random search and steepest descent. Simulations verify the merits of the proposed method. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
محسن جلاییان f | jalaeian f
department of electrical engineering, center of excellence on soft computing and intelligent information processing sciip , ferdowsi university of mashhad, mashhad, iran
سازمان اصلی تایید شده: دانشگاه فردوسی (Ferdowsi university)
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| نشانی اینترنتی |
http://www.qjcr.ir/article_60_14.html |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/1577/article-1577-257452.pdf |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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