The Scientific World Journal / 2012 / Article / Tab 6

Research Article

A Bat Algorithm with Mutation for UCAV Path Planning

Table 6

Best normalized optimization results on UCAV path planning problem on different . The numbers shown are the best results found after 100 Monte Carlo simulations of each algorithm.

ParameterAlgorithm
PopsizeMaxgen ACOBABAMBBODEESGAPBILPSOSGA

30200510.116410.69094.357510.23414.356812.37465.24718.55765.60829.9596
30200107.47462.36001.39532.61571.39528.06561.571625.68212.11011.5498
30200159.82973.07570.60942.08960.62047.74080.829961.46563.22570.9700
302002010.08362.39500.46792.77650.49139.62760.860072.28972.37380.8426
302002511.54905.01730.44844.84740.626512.31691.5243113.75372.37401.3743
302003013.86157.24700.467110.94031.130118.00901.7026152.01733.67511.5147
302003516.94767.44840.479510.41471.284916.86132.1602254.00605.47651.5319
302004017.61428.65000.602814.49973.961719.82442.4178315.44595.53841.9406

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