What is Python Ant Colony algorithm

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Catalogue

Brief introduction of Ant Colony algorithm

TSP problem description

Principle of Ant Colony algorithm

Code implementation

Brief introduction of Ant Colony algorithm

Ant colony algorithm (Ant Clony Optimization, ACO) is a kind of swarm intelligence algorithm, in which a group of unintelligent or slightly intelligent individuals (Agent) show intelligent behavior through cooperation with each other, which provides a new possibility for solving complex problems. Ant colony algorithm was first developed by Italian scholar Colorni A., Dorigo M. It is equal to the proposal in 1991. After more than 20 years of development, ant colony algorithm has made great progress in theory and application research.

Ant colony algorithm is a bionic algorithm, which is inspired by the foraging behavior of ants in nature. In nature, in the process of foraging, ant colonies can always find an optimal path from ant nests and food sources. The following picture shows such a foraging process.