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Ant Colony Optimization (Serial C and Pthreads C Programs)

Research and study the Ant Colony Optimisation (ACO) problem. This problem originated as

a probabilistic technique for finding the shortest path through a graph, using the behavior of

ants seeking a path between their colony and a source of food .

Having done some research, you are required to write programs (as both serial C and

parallel Pthreads C programs) to simulate, in two dimensions, the Ant Colony Optimisation

problem. Note: both programs must be written in the C programming language. The parallel

program must use Pthreads.

 Write an additional program, in a programming language of your choice, to visualise the

movement/evolution over time of the ants. Rather than have a visualisation and simulation

running as one program, you should have your serial and parallel programs output the

necessary data to files. These data-file(s) can then be read by your visualisation program to

visualise the evolution, over time, of the movement of the ants around the model two dimensional world.

 Test different scenarios in relation to the movement of the ants; for e.g.:

- provide more than one food source, and study how the ants behave differently

compared to one food source.

- change the pheromone-evaporation parameter to see how this affects the ants

choosing the shortest path(s).

Skills: C Programming, Linux, Visualization

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Project ID: #20791856

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