Abstract：To ensure unmanned combat aerial vehicle(UCAV)to reach the destination with an optimal path and a minimum rate to be foun d，UCAV path plan ing must be ma de before mission execution．The parallelism of an t colony optimization(ACO)is feasible in UCAV path planning under complicated combat environments

基于MAX-MIN自适应蚁群优化的无人作战飞机航路规划.pdf

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