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Title:Firefly algorithm and application in sheet metal forming optimization based on Gaussian process
Authors: Wang Xiaoxin  Chen Lei 
Unit: Hunan University 
KeyWords: Gaussian process  approximate model  firefly algorithm  sheet metal forming 
ClassificationCode:TG302
year,vol(issue):pagenumber:2015,40(12):26-34
Abstract:

Many complicated optimization problems in sheet forming optimization have characteristics such as high-dimensional and multiple nonlinearly coupling resulting in low optimize convergence efficiency. Therefore, a high-dimensional global optimization method was proposed based on the approximate mode of Gaussian process. The most remarkable advantage of this method was that it could build a search mechanism based on the approximate mode of Gaussian process, and screen the search training samples generated by firefly algorithm to automatically generate new sample points through combining this mechanism with expected improvement criterion. Based on this iterations mode, the search could quickly focus on a small promising area, thus a fast and robust convergence of optimization process could be realized. Tests on complex high-dimensional and nonlinear functions show that the proposed method is capable of dealing with complex high-dimensional engineering problems. Furthermore, the sheet forming process for a rectangular box in NUMISHEET2013 BENCHMARK2 has been successfully optimized by firefly algorithm. Compared with the popular EGO, the efficiency and accuracy are improved.

Funds:
国家自然科学基金资助项目(11172097,11302266)
AuthorIntro:
作者简介:王晓新(1989-),男,硕士研究生
Reference:


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