A non-linear program, truck stops and camps

In summary, the problem at hand is to locate an airstrip in the desert to transport food aid to four refugee camps. The number of trips to each camp is proportional to its population and there are no roads for the trucks to use. The objective is to minimize the total travel distance for the trucks by formulating an NLP problem with the coordinates of the airstrip as decision variables and the distances between the airstrip and each camp as the objective function. The constraints ensure that the airstrip is located in the desert.
  • #1
lcary
7
0
I could use some help starting my homework.
The problem set up is as follows:

#1: Facility Location
Suppose we want to locate an airstrip somewhere in the desert
where airplanes can land to drop off food aid, which will be trucked
to various refugee camps. The camps are located and populated as
follows:


x y population
30 0 11 thousand
300 20 20 thousand
0 45 10 thousand
60 60 13 thousand

(I can't seem to separate the x, y and pop column so that it looks neater- but all numbers in the first left column are the x values, the middle numbers are the y values and the numbers in the right column are the pop values (the ones in thousands)) The # of trips to each camp is proportional to the camp population.
There are no roads for the trucks to use--they will drive straight
from the airport to the camps.
a) Formulate an NLP to minimize the total travel distance for
the trucks (using math notation, not yet in Excel).

I'm not sure where to start writing equations for a non linear program.

Any ideas?
 
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  • #2
One approach for this problem would be to formulate a nonlinear programming (NLP) problem that minimizes the total travel distance for the trucks. The objective function would be the sum of the distances between the airstrip and each of the refugee camps, multiplied by the population of each camp. The decision variables would be the coordinates of the airstrip (x and y).The objective function would be: Minimize Z = 11,000*d(x,y,30,0) + 20,000*d(x,y,300,20) + 10,000*d(x,y,0,45) + 13,000*d(x,y,60,60)Where d(x,y,a,b) represents the distance between the airstrip location (x,y) and the camp location (a,b). The constraints would be:-x ≥ 0 -y ≥ 0 This NLP problem can then be solved using an appropriate software package.
 

What is a non-linear program?

A non-linear program is a mathematical optimization problem that involves finding the maximum or minimum value of an objective function, subject to a set of constraints, where the objective function is non-linear.

How is a non-linear program different from a linear program?

A linear program involves finding the maximum or minimum value of a linear objective function, subject to linear constraints. In other words, the variables in a linear program have a linear relationship with the objective function and constraints, while in a non-linear program, this relationship is non-linear.

What are truck stops and camps?

Truck stops and camps are designated areas where trucks and other large vehicles can stop and rest during long trips. These stops often offer amenities such as fuel, food, and restrooms for truck drivers.

How are truck stops and camps related to non-linear programs?

Truck stops and camps are often considered in non-linear programs as potential locations for new facilities or expansions. The non-linear nature of these programs allows for more precise optimization of factors such as cost, distance, and capacity in determining the best locations for these stops and camps.

What are the benefits of using non-linear programs for truck stops and camps?

Non-linear programs offer more flexibility and accuracy in optimizing the locations of truck stops and camps. By considering non-linear relationships between factors such as cost and distance, these programs can provide more precise solutions that can result in cost savings and improved efficiency for truck drivers and trucking companies.

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