Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems

Abstract This paper presents a surrogate-assisted global and distributed local collaborative optimization (SGDLCO) algorithm for expensive constrained optimization problems where two surrogate optimization phases are executed collaboratively at each generation. As the complexity of optimization prob...

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المؤلفون الرئيسيون:	Xiangyong Liu, Zan Yang, Jiansheng Liu, Junxing Xiong, Jihui Huang, Shuiyuan Huang, Xuedong Fu
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Nature Portfolio 2025-01-01
سلاسل:	Scientific Reports
الموضوعات:	Surrogate-assisted evolutionary algorithm Expensive constrained optimization problems Global search Local search
الوصول للمادة أونلاين:	https://doi.org/10.1038/s41598-025-85233-6
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!