job scheduling algorithm 中文意思是什麼

job scheduling algorithm 解釋
作業調度演算法
  • job : n 1 喬布〈男子名〉。2 約伯〈《聖經》中的人物，以忍艱耐勞著稱〉。3 《舊約聖經》中的《約伯記》（＝t...
  • scheduling : 編排；調度
  • algorithm : n. 【數學】演算法；規則系統；演段。
  1. Study on the heuristic algorithm of unflowing job scheduling based on cpm

    的非流水作業排序啟發式演算法
  2. Multi - colony diploid immune algorithm for better job - shop scheduling

    調度問題的多種群雙倍體免疫演算法研究
  3. To overcome shortcomings in current efficiency algorithm, genetic algorithm and reverse algorithm existing in non - standard job - shop scheduling problem, a reverse algorithm of solving nonstandard job - shop scheduling problem ( njssp ) based on redundancy was put forward, the mathematical description of njssp was provided, object function was also given simultaneously

    摘要為了克服現有效率演算法、遺傳演算法和逆序演算法等求解非標準作業車間調度問題時存在的不足，提出了一種新的逆序演算法。
  4. When solving the tna problem based on fleet dispatching commands, a stage - assignment algorithm is build to overcome the defect of fifo algorithm, which can be widely applied to cope with fixed job scheduling problem. 3

    在解決基於飛機調度指令要求的飛機排班問題時，本文提出的分階段指派演算法較好地克服了標號演算法的缺陷，該演算法能普遍地應用於處理類似的固定工件排序問題。
  5. For the problems of load balance between clusters, the author and his research team build a job migration management system which is able to work with dedicated job scheduling system of every cluster, set up the multi - cluster resource reserving plan and the mechanism to enable jobs to utilize the idle resources in whole cluster group by migrating, and formulates a algorithm to compare migrating destinations

    針對集群系統之間負載平衡問題，作者及課題組研製了集群系統間的作業遷移管理系統，實現了集群組之間的資源保障計劃和作業通過遷移利用集群組空閑資源的機制，制訂了遷移目標比較演算法。
  6. A job - shop scheduling algorithm using chained list

    調度問題的演算法
  7. Application of improved pseudo - parallel genetic algorithm for job - shop scheduling problem

    一種新的偽并行遺傳演算法在車間調度中的應用研究
  8. Integrated operator genetic algorithm for solving multi - objective flexible job - shop scheduling

    多目標柔性作業車間調度的集成運算元遺傳演算法
  9. Ant colony and particle swarm optimization algorithm - based solution to multi - objective flexible job - shop scheduling problems

    基於蟻群粒子群演算法求解多目標柔性調度問題
  10. Facing to manufacturing system, this paper analyzed its characters and evolvement of production management modes, demonstrated that lean production and human - based theory were practical ways to reform our manufacturing systems fit for the reality. a division method was raised to separate the job - scheduling problem into shop and station types, and emphasis was pressed on the study of partheno - genetic algorithm ( pga ), a revised genetic algorithm, to calculate this problem. a new kind of gene joint - move algorithm was also raised

    針對製造系統，分析其生產管理模式的特點和變遷，論證了精益生產和以人為本的思想是適合現階段我國實際的製造系統管理模式改造途徑，對其中的主要具體問題?作業計劃調度提出shop （車間）和station （工作站）型兩分法，求解上重點研究了遺傳演算法的改進型式?單染色體遺傳演算法（ pga ）的基本理論，提出一種基因聯合移位運算元，證明了演算法的有效性與優越性，研究了如何將pga應用於製造系統作業調度這一復雜的組合優化問題，針對生產中總時間最短和jit兩種生產性能指標，給出了具體的解決方案及運算過程。
  11. On the ground of fact of photoelectricity industry, the paper puts forward idea and algorithm of flexible job shop scheduling

    並根據光電子加工中的實際情況，提出了柔性車間管理理論及演算法。
  12. Secondly, this article researches the technique of job scheduling optimization based on aps, and focuses on genetic algorithm how to apply in job shop scheduling

    其次，對aps的優化技術進行了研究，著重研究了遺傳演算法在車間作業調度中的應用。
  13. Because of the defect of long running time and big complexity in the classical job - shop scheduling algorithm, the paper brought forward an intelligent optimization algorithm based on rule ; scheduling process is divided to primary process and optimization process. through the method of ahp ( analytical hierarchy process ), the effect is researched between several rules and estimate. moreover, the results of ahp are used as a measurable standard to scheduling results

    本文針對傳統車間作業調度演算法運行時間長，復雜度大的缺點，提出了基於規則的智能優化調度演算法，將排序的過程分為初始排序與優化排序;基於多目標決策的層次分析方法，得出了各種規則與系統評價指標之間的影響度，其結論為生產計劃方案的選擇提供了定量的參考依據。
  14. A extended model and a generalized algorithm for a job scheduling problem in production management

    生產管理中一類排序問題的擴展模型及通用演算法
  15. 6. design the complex job network. then according to the character of job network, we design the advance - scheduling algorithm based on barrier to schedule job network to shorten the waiting time

    六、設計了旦有復雜依賴關系的作業網路，並根據作業網路特點，提出基於柵障的提汕凋度演算法調度作業網路，減少了作業調度的等待時間。
  16. This article focuses on produce scheduling technology and the algorithm of job scheduling, at the same time, exploits and implements the “ production management system ” of harbin turbine co. ltd. ( short of “ htc ” )

    本文主要對基於aps的生產排程技術和作業調度演算法的優化技術進行研究，同時完成課題哈爾濱汽輪機責任有限公司（簡稱「哈汽」 ）生產管理系統的開發和實現。
  17. And we also research on the job without resource requirement, and design proportional job scheduling algorithm. we also design the adaptive method of job execution, and through which the resource can be used more

    同時，也對作業無明確資源需求的情況進行研究，提出了按比例作業調度演算法，給出了演算法評價及改進方法。
  18. A new static scheduling algorithm based on job network dag module is present to balance network workload statically as the partner of the dynamic load balancing mechanism

    根據作業網路，提出了一個基於作業網路dag模型的靜態調度演算法，該演算法是對動態負載平衡演算法的擴展，用於作業網路的靜態負載平衡。
  19. This paper use ga to figure out the complicated scheduling problem ; the main research concentrates on the following several aspects : ( 1 ) by reading a great deal of documents of scheduling problem and ga, the issue that genetic algorithm being adaptive to solve scheduling problem is introduced ; ( 2 ) hybrid genetic algorithm is adopted to solve a multi - objective job scheduling problem on identical parallel machine and a multi - objective job scheduling problem on non identical parallel machine, and the feasibility and validity of the algorithm is approved by numeric experiment ; ( 3 ) based on the heuristic algorithm of maximizing customer ' s satisfaction for single machine, this issue is extended to parallel machine, and then bring forward a heuristic arithmetic and a virus infective hybrid genetic algorithm

    本文應用遺傳演算法求解復雜的生產調度問題；主要在以下幾個方面作了一些研究工作：通過大量閱讀各種生產調度和遺傳演算法的文獻，指出了遺傳演算法適合解決生產調度問題。採用混合遺傳演算法應用在求解多目標等同并行多機問題和多目標非等同并行多機問題，並通過模擬實驗證明演算法的可行性和有效性。在求解極大化顧客滿意數的單機問題的啟發式演算法的基礎上，將此問題擴展為多機問題，提出一種啟發式演算法和一種帶病毒感染的混合遺傳演算法。
  20. Recently, genetic algorithm has been tyied to resolve variable combinatorial optimization problems, such as job scheduling problem, but but has began just now in vsp

    近些年來，人們在用遺傳演算法解決現實中的各種組合優化問題上進行了探索，如在生產調度問題中的應用，但在車輛調度問題中的應用才剛剛開始。
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