Ant colony algorithm has been widely applied to lots of fields, such as combinatorial optimization, functionoptimization, system identification, network routing, robot path planning, data mining and large-scale integratedcircuit design of integrated wiring, etc. And it achieved good results. But it still has one weak point which is the slowingconvergence speed. To aim at the lacks, an improved ACO is presented. This paper studies a kind of improved antcolony algorithm with crossover operator which makes crossover operator among better results at the end of eachiteration. The experiment results indicate that the improved ACO is effectual.
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