New Technique for Global Solar Radiation Forecasting by Simulated Annealing and Genetic Algorithms Using

Hajar Bagheri Tolabi; Shahrin Ayob

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New Technique for Global Solar Radiation Forecasting by Simulated Annealing and Genetic Algorithms Using

机译：模拟退火和遗传算法的全球太阳辐射预报新技术。

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摘要

In this paper, a novel approach based on simulated annealing algorithm as a meta-heuristic method is implemented in MATLAB software to estimate the monthly average daily global solar radiation on a horizontal surface for six different climate cities of Iran. A search method based on genetic algorithm is applied to accelerate problem solving. Results show that simulated annealing based on genetic algorithm search is a suitable method to find the global solar radiation.

机译：在本文中，在MATLAB软件中实现了一种基于模拟退火算法作为元启发法的新颖方法，以估计伊朗六个不同气候城市在水平面上的月平均日全球日辐射量。提出了一种基于遗传算法的搜索方法来加速问题的求解。结果表明，基于遗传算法搜索的模拟退火是寻找全局太阳辐射的一种合适方法。

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来源
《Applied solar energy》 |2014年第3期|202-206|共5页
作者
Hajar Bagheri Tolabi; Shahrin Ayob;
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作者单位

Faculty of Engineering, Khorramabad branch, Islamic Azad University, Khorramabad, Iran;

Universiti Teknologi Malaysia, Malaysia;

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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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2. Benchmarking of optimisation techniques based on genetic algorithms, tabu search and simulated annealing [J] . H. C. W. Lau, G. T. S. Ho, E. N. M. Cheng, International Journal of Computer Applications in Technology . 2007,第2a3期

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机译：基于遗传算法，禁忌搜索和模拟退火的优化技术基准测试

New Technique for Global Solar Radiation Forecasting by Simulated Annealing and Genetic Algorithms Using

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