An Improved Ant Colony Optimization Algorithm with Crossover Operator
2014 ◽
Vol 8
(1)
◽
pp. 96-100
Keyword(s):
Ant colony algorithm has been widely applied to lots of fields, such as combinatorial optimization, function optimization, system identification, network routing, robot path planning, data mining and large-scale integrated circuit design of integrated wiring, etc. And it achieved good results. But it still has one weak point which is the slowing convergence speed. To aim at the lacks, an improved ACO is presented. This paper studies a kind of improved ant colony algorithm with crossover operator which makes crossover operator among better results at the end of each iteration. The experiment results indicate that the improved ACO is effectual.
2017 ◽
Vol 13
(05)
◽
pp. 174
◽
2013 ◽
Vol 380-384
◽
pp. 1877-1880
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2010 ◽
Vol 26-28
◽
pp. 620-624
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2021 ◽
Vol 5
(2)
◽
pp. 11-19
2014 ◽
Vol 587-589
◽
pp. 2339-2345