舰船电子工程
艦船電子工程
함선전자공정
SHIP ELECTRONIC ENGINEERING
2015年
8期
41-44
,共4页
黄兆年%李海山%赵君
黃兆年%李海山%趙君
황조년%리해산%조군
蚁群算法%车辆调度站部署%运营费用
蟻群算法%車輛調度站部署%運營費用
의군산법%차량조도참부서%운영비용
ant colony optimization%vehicle scheduling transportation hub%urban traffic operating expenses
因为蚁群算法在解决NP难问题有很多优势,正反馈机制可以引导整个系统向最优解的方向进化,最后得出最优解,来解决国内城市运营费用非常大、车辆调度站和交通枢纽部署不合理的问题。
因為蟻群算法在解決NP難問題有很多優勢,正反饋機製可以引導整箇繫統嚮最優解的方嚮進化,最後得齣最優解,來解決國內城市運營費用非常大、車輛調度站和交通樞紐部署不閤理的問題。
인위의군산법재해결NP난문제유흔다우세,정반궤궤제가이인도정개계통향최우해적방향진화,최후득출최우해,래해결국내성시운영비용비상대、차량조도참화교통추뉴부서불합리적문제。
Because the ACO in solving the NP hard problems has many advantages ,positive feedback mechanism can guide the whole system evolution in the direction of the optimal solution .Finally optimal solution is obtained to solve the do‐mestic urban traffic operating expenses ,vehicle scheduling transportation hub unreasonable deployment problem .