The implementation of the following programs should be done in Python without the use of deep models learning. Inside the file you can enter comments and in top of the code, the address of the data set, the APIs you used as well any other information you feel will help with grading. We assume that every day a courier company receives a set of packages to be sent to different parts of the country. Each package has weight and dimensions (length, width, height) and also has a price paid by the customer for its transportation. In addition, the company has at its disposal a set of trucks for carrying out the transports which are characterized by a maximum weight they can carry as well as specific dimensions in the transport cabin (length, width, height). Create a program that simulates the problem of transporting packages by finding the appropriate solution (which packages can be transported - some may not fit) when the user gives the above information (number and details for each package and for each truck). You will consider solving the problem in a two-dimensional plane (you will not consider the height of each package and truck), and each truck can carry packages in the cab that are only on one level (we do not stack packages on top of each other). The program should use a swarm intelligence algorithm (not a genetic algorithm - you choose it) to find the optimal solution.