John Raphy Karippery
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Recent activity by John Raphy Karippery-
Hello Jaromił, Thank you so much for your help and referances.all referances you mention are not free so I need to find another way find that referances. I have one more question about the lower an...
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Hello Jaromił,TA[i,h] = arrival time of truck at node i. That is calculate model.addConstrs(TA[origin[h],h] == 0 for h in truck)model.addConstrs(TD[origin[h],h] == 0 for h in truck) for j in nodel...
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Hello Mario, sorry for adding many questions. finally, I build a model for a time violation. \(TA_i^h\) = arrival time of truck at node i \(TD_i^h\) = departure time of truck at node i \( TA_{o^h...
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Hello Mario,Yes upper bound on the size of a platoon <= 5 not all trucks make platoons. based on this model if trucks have large distance differences in the shortest path and travelling distance (...
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hello mario,thank you for your reply. and I am so happy that you understand my model. I need to extend my model to minimize total time violations. first I need to find platoon edges. ie if any truc...
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hello Mario,I understand what you mean. currently, I have a mathematical model for a single objective vehicle platooning problem (minimize fuel cost). c(e) = distance between edges i,jThank youJo...
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Hello Mario, Thank you for your reply. I have already explained my Vehicle platooning problem model in my previous question. I just want to create a second objective to my model called minimizing ...
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Hello, Thank you so much for your code that so helps full. your code is almost right for my model. 1. is that possible to a /[ gp.max_() \] in the objective function. on your first answer, you use...
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Hello Maliheh,Thank you for your answer. I already have a model for the vehicle platoon problems with the objective minimize fuel cost. my task is to add a second objective to my model called mini...
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Hi Maliheh,After so much reading and a lot of tries, I thought of covert this constrain to the objective function. Currently, I have 2 objectives for my model I need to use the epsilon constrain me...