Next Generation of Algorithms Inspired by Ants

letsurock writes "Ants' capability to find the shortest route through a maze in an hour, and to find the second shortest route when the first path was obstructed, has inspired researchers creating algorithms for the future. From the article: 'Finding the most efficient path through a busy network is a common challenge faced by delivery drivers, telephone routers and engineers. To solve these optimization problems using software, computer scientists have often sought inspiration from ant colonies in nature — creating algorithms that simulate the behavior of ants who find the most efficient routes from their nests to food sources by following each other's volatile pheromone trails. The most widely used of these ant-inspired algorithms is known as Ant Colony Optimization (ACO).'"
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