计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2010年
7期
242-245
,共4页
毁伤装备%蜂群算法%任务调度
燬傷裝備%蜂群算法%任務調度
훼상장비%봉군산법%임무조도
damaged equipment%Wasp Colony Algorithm(WCA)%job-scheduling
如何在最短的时间内将损坏的装备修复好,是装备维修决策的重要内容之一.鉴于蜂群算法在任务调度特别是动态随机任务调度中的优势,将蜂群算法引入装备维修任务调度研究.测试案例的仿真结果表明,蜂群算法对于动态随机任务调度具有较强的优势.
如何在最短的時間內將損壞的裝備脩複好,是裝備維脩決策的重要內容之一.鑒于蜂群算法在任務調度特彆是動態隨機任務調度中的優勢,將蜂群算法引入裝備維脩任務調度研究.測試案例的倣真結果錶明,蜂群算法對于動態隨機任務調度具有較彊的優勢.
여하재최단적시간내장손배적장비수복호,시장비유수결책적중요내용지일.감우봉군산법재임무조도특별시동태수궤임무조도중적우세,장봉군산법인입장비유수임무조도연구.측시안례적방진결과표명,봉군산법대우동태수궤임무조도구유교강적우세.
How to schedule equipment repair is essential for the repair decision-making. Because of the great performance of Wasp Colony Algorithm(WCA) in job-scheduling especially in dynamic and stochatic job-scheduling, this paper uses the WCA to research problem of the repair scheduling. Results from the simulation instance show that WCA is of great advantage for dynamic and stochastic jobs.