Dear All, please provide help with the following:
we have a <-c(0,1,1,0,1,0,0,0,0) b <-c(0,0,0,1,0,0,0,0,0) c <-c(1,0,1,0,1,1,0,0,0) d <-c(0,1,0,1,0,1,0,0,0) df <-rbind(a,b,c,d) df <-cbind(df,h=c(sum(a)*8,sum(b)*8,sum(c)*8,sum(d)*8)) df <-cbind(df,df[,8]*c(1,2,3,2)) I would like to minimize the value for sum(df[,9]) under the following conditions: 1. all values of a,b,c, and d are binary variables and are the variables to change to get the optimal result 2. sum(a), sum(b), and sum(d) should be each 5 or more 3. sum(c) should be 3 or less 4. a[2], a[3], b[2], d[7] and d[8] are fixed to their current values. any thoughts or reference examples you could help with is greatly appreciated thanks andras ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
