Decision Optimization

Decision Optimization

Delivers prescriptive analytics capabilities and decision intelligence to improve decision-making.

 View Only
  • 1.  lower bound

    Posted Thu August 07, 2014 10:39 AM

    Originally posted by: bornee


    in order to improve the quality of the solution I am asked to calculate the lower bound and upper bound on the distance traveled by each vehicle. 
    for the lower bound: is the sum of all minimum distance of all the cities or to each node of the network: Gij = the minimum distance that separates the city from any other towns i j such that j different filing.

    example 

    0        10       15       5        4 4

    10      0         20      12      75

    15     20         0        40      52

    5      12         40        0        30

    44       75        52        30       0

    so G03=5  ;   G10= 10 ; G20 = 15 ; G30=5  ; G43=30  so the sum of all this distance is the lower bound SUM (Gij) = 5+10+15+5+30 = 65 = Dmin

    ican't modelit this constraint any help please??

    for the upper bound: Sij = maximum distance between city i any other cities j such that j different filing. SUM (Sij)= Dmax

    the distance traveled by each vehicle is calculated in this way : 

     c1414 : forall (v in V)
         sum (i in I, j in J: i!=j)Xijv[i][j][v]*item(DIJ,<i.i,j.j>).valeur == D[v];

    when  the distance traversed by each vehicle must be between the lower bound and the upper bound :

                                                Dmin <= D[v] <= Dmax

    when v = vehicul and i j the cities 

    thank you

     

     

     

     

     


    #DecisionOptimization
    #OPLusingCPLEXOptimizer