Thursday, 3 September 2020

MATLAB code of Ant colony Optimization | search based optimization

Hello, guys today posting one new MATLAB project. The project deals with optimization. This post comprises the MATLAB implementation of Ant Colony Optimization. In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphsArtificial Ants stand for multi-agent methods inspired by the behavior of real ants. The pheromone-based communication of biological ants is often the predominant paradigm used.

YouTube Video of the Project: 


This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations.

Algorithm:
procedure ACO_MetaHeuristic is
while not_termination do
generateSolutions()
daemonActions()
pheromoneUpdate()
repeat
end procedure

MATLAB Implementation of the ACO:

Fig: Main MATLAB GUI of ACO

Fig: MATLAB GUI of ACO

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