军械工程学院学报
軍械工程學院學報
군계공정학원학보
JOURNAL OF ORDNANCE ENGINEERING COLLEGE
2014年
1期
5-8
,共4页
李玺%陈立云%高秀峰%申吉红
李璽%陳立雲%高秀峰%申吉紅
리새%진립운%고수봉%신길홍
蚁群算法%遗传算法%调拨决策
蟻群算法%遺傳算法%調撥決策
의군산법%유전산법%조발결책
ant colony algorithm%genetic algorithm%decision-making of distribution
将蚁群算法和遗传算法应用于装备调拨决策系统,实现了装备调拨决策信息的生成。同时利用遗传算法对蚁群算法的参数进行了优化,实验证明优化后的蚁群算法在平均路径长度、算法平均执行时间和总执行时间上较传统蚁群算法都有一定程度的改进。
將蟻群算法和遺傳算法應用于裝備調撥決策繫統,實現瞭裝備調撥決策信息的生成。同時利用遺傳算法對蟻群算法的參數進行瞭優化,實驗證明優化後的蟻群算法在平均路徑長度、算法平均執行時間和總執行時間上較傳統蟻群算法都有一定程度的改進。
장의군산법화유전산법응용우장비조발결책계통,실현료장비조발결책신식적생성。동시이용유전산법대의군산법적삼수진행료우화,실험증명우화후적의군산법재평균로경장도、산법평균집행시간화총집행시간상교전통의군산법도유일정정도적개진。
The ant colony algorithm and genetic algorithm are applied to decision-making system for equipment distribution and the generation of decision information for equipment distribution is achieved.At the same time,genetic algorithm is used to optimize the parameters of ant colony al-gorithm,and the experiments show that the optimized ant colony algorithm is better than the tra-ditional ant colony algorithm in the average path length,the average algorithm execution time and the total execution time.