<ul><li>Ant colony optimization (ACO) is a probabilistic technique for solving computational problems that can be reduced to finding good paths through graphs.</li><li>Real ants lay down pheromones to direct each other to resources while exploring their environment, and ACO mimics this behavior.</li><li>This article discusses the implementation of ACO using a Hadoop cluster to solve the traveling salesman problem.</li><li>ACO in a Hadoop cluster is slower compared to other implementations like Spark, but it can still find good solutions with fewer iterations.</li></ul>

Ant Colony Optimization (ACO) in a Hadoop Cluster

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