电脑与电信
電腦與電信
전뇌여전신
COMPUTER & TELECOM
2009年
7期
18-20
,共3页
蚁群算法%挥发因子%演化算法%拟布尔函数
蟻群算法%揮髮因子%縯化算法%擬佈爾函數
의군산법%휘발인자%연화산법%의포이함수
Ant Colony Algorithms: evaporation factor%Evolutionary Algorithm%Pseudo-Boolean
通过用(1+1)演化算法和单只蚂蚁的蚁群算法分别解决给出的Bin函数,Trap函数,Jump函数,对实验结果进行了深入的对比和分析,得出单只蚂蚁的优化算法在很大程度上模拟了(1+1)演化算法,两种算法在解决Trap函数,Jump函数时都偏离最优值,以及随着信息素挥发因子的逐渐减小,单只蚂蚁算法求解拟布尔函数最优值的效率降低等结论.
通過用(1+1)縯化算法和單隻螞蟻的蟻群算法分彆解決給齣的Bin函數,Trap函數,Jump函數,對實驗結果進行瞭深入的對比和分析,得齣單隻螞蟻的優化算法在很大程度上模擬瞭(1+1)縯化算法,兩種算法在解決Trap函數,Jump函數時都偏離最優值,以及隨著信息素揮髮因子的逐漸減小,單隻螞蟻算法求解擬佈爾函數最優值的效率降低等結論.
통과용(1+1)연화산법화단지마의적의군산법분별해결급출적Bin함수,Trap함수,Jump함수,대실험결과진행료심입적대비화분석,득출단지마의적우화산법재흔대정도상모의료(1+1)연화산법,량충산법재해결Trap함수,Jump함수시도편리최우치,이급수착신식소휘발인자적축점감소,단지마의산법구해의포이함수최우치적효솔강저등결론.
We undertake several experimental analysis of the Single Ant ACO System and (1+1) evolutionary algorithm on several pseudo-boolean functions include Bin function, Trap function, Jump function. We analyze the results seriously and find that those cases where the Single Ant ACO system performs well, it basically simulates the (1+1) evolutionary algorithm. These two algorithms deviate from the optimal value in solving the Trap function, Jump function. And as the pheromone evaporation factor decreases, the effact of the 1-Ant Algorithm to solve the problem of Boolean fimctions is to be lower.