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ACO for continuous function optimization: A performance analysis

Published • Nov 1, 2014
NobleIDNI7P19W11R83S28
Authors:
Varun Kumar Ojha
,
Ajith Abraham
,
Vaclav Snasel

Abstract

The performance of the meta-heuristic algorithms often depends on their parameter settings. Appropriate tuning of the underlying parameters can drastically improve the performance of a meta-heuristic. The Ant Colony Optimization (ACO), a population based meta-heuristic algorithm inspired by the fora...

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