ANN modelling and Elitist teaching learning approach for multi-objective optimization of $$\upmu $$ μ -EDM

标题
ANN modelling and Elitist teaching learning approach for multi-objective optimization of $$\upmu $$ μ -EDM
作者
关键词
Artificial neural network (ANN), Material removal rate (MRR), Overcut (OC), Multi-objective differential evolution (MODE), Recast layer thickness (RCL), Elitist teaching learning based optimization (TLBO)
出版物
JOURNAL OF INTELLIGENT MANUFACTURING
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2016-02-04
DOI
10.1007/s10845-016-1193-2

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