Ant Colony Optimization : Applications And Trends

Reflexión académica sobre temáticas relacionadas con la Ingeniería
Carlos Arturo Robles Algarín

Universidad Cooperativa de Colombia

Ants communicate through their pheromones; this is a substance that enables them to find the shortest path between their nest and food source. This feature has been used to solve optimization problems that need to improve computation times substantially to solve a specific application. The ant colony optimization ( aco) is a meta-heuristic method based on the real behavior of ants. It consists of algorithms used to obtain solutions to complex problems in a reasonable amount of computing time. The article presents a detailed description of the theory of ant colony optimization, afterwards, it performs a review of the algorithms used in the aco and finally it shows various applications currently used to demonstrate the benefits of aco in optimization algorithms. Likewise, it describes new theoretical developments and current trends in this research field.
Keywords: colony, ants, optimization
Published
2011-01-20
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How to Cite

[1]
C. A. Robles Algarín, “Ant Colony Optimization: Applications And Trends”, ing. Solidar, vol. 6, no. 10-11, pp. 83–89, Jan. 2011, Accessed: Dec. 03, 2024. [Online]. Available: https://revistas.ucc.edu.co/index.php/in/article/view/454
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