ant colony optimization
2016-08-23
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The Ant Colony Optimization idea is to exploit the self organising principles of ants and make
them help solve the computational problems.ACO is based on the foraging behaviour of the ants
colonies and targets the optimization problems. This is done by the trail laying and trail following
behaviour of ants, whereby an ant is influenced by a trial or chemical left by another ant. It uses the
strategies of distributed collective learning and making decisions based on it. It finds the paths in the
experimental observation of the foraging behaviour of other neighbouring ants under some specific
constraints and thereby selecting the shortest path among the fewest possible paths connecting the
source and the destination.
them help solve the computational problems.ACO is based on the foraging behaviour of the ants
colonies and targets the optimization problems. This is done by the trail laying and trail following
behaviour of ants, whereby an ant is influenced by a trial or chemical left by another ant. It uses the
strategies of distributed collective learning and making decisions based on it. It finds the paths in the
experimental observation of the foraging behaviour of other neighbouring ants under some specific
constraints and thereby selecting the shortest path among the fewest possible paths connecting the
source and the destination.
java
优化
蚁群
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