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5. Nature-Inspired Meta-heuristic Algorithms for Generating Optimal Experimental Designs

Nature-Inspired Meta-heuristic Algorithms for Generating Optimal Experimental Designs

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：yayiye

【摘 要】

：

Nature-inspired meta-heuristic algorithms are increasingly studied and used in computer science and engineering disciplines to solve high-dimensional complex optimization problems in the real world.

【作 者】

：

Weng Kee Wong Ray-Bing Chen Ping Yang Yu Shi Zizhao Zhang 

【机 构】

：

Department of Biostatistics,UCLA,CA,USA Departmen

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

approximate design exact design equivalence theorem information matrix multiple- 

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　　Nature-inspired meta-heuristic algorithms are increasingly studied and used in computer science and engineering disciplines to solve high-dimensional complex optimization problems in the real world.

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