adaptive scheduling 中文意思是什麼

adaptive scheduling 解釋
調度的方式
  1. Kung, chih - hsien ; devaney, michael j. ; huang, chung - ming and kung, chih - ming, “ power source scheduling and adaptive load management via a genetic algorithm embedded neural network, ” the proceedings of the ieee instrumentation and measurement technology conference, baltimore, maryland, usa, may 1 - 4, 2000

    龔志賢,黃仲銘,龔志銘(民88 ) , 」類神經網路應用於最佳化電力負載管理之研究」 ,第四屆人工智慧與應用研討會,大葉大學。
  2. Real time optimization research and application of mining scheduling system based on genetic algorithms and adaptive network fuzzy inference system

    的露天礦山開采調度系統的實時優化與實踐
  3. Dynamic flexibility and reflective scheduling model with self - adaptive characteristic

    具有自適應特性的反射式動態彈性調度模型
  4. Then in the 3rd chapter, the thesis presents a new awareness model am - neven, and defines the key components, such as awareness objects, awareness levels, interactive tasks, and area of interest. in the following chapter, an adaptive awareness scheduling framework based on the global resources is presented, which schedules the awareness based on network and host resources, supports interaction with users, and coordinates the scheduling process according to the media types and characteristics of the awareness objects

    第四章提出了一個以上述模型驅動的基於整體資源的自適應感知調度框架,從網路和系統資源等的多個層次上進行感知調度,支持和用戶的動態交互,並考慮多種媒體類型的感知對象特點及其綜合協調,然後對其重要組成部分的關鍵技術進行了分析。
  5. 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。
  6. 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。
  7. Research interests include nonlinear control, adaptive control, visual tracking and servo, magnetic levitated system control, mechatronics, robotics theory and applications, automation scheduling of production system, home automation and e - commerce

    敝人研究領域包括非線性控制、適應控制、影像追蹤與伺服、磁浮系統控制、機電整合、機器人理論與應用、生產系統自動化與排程,家庭自動化、與電子商務。
  8. Solving scheduling problems of rolling sequence with an adaptive genetic algorithm

    用自適應遺傳演算法求解軋制順序調度問題
  9. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎(包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理)后,重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性;結合啟發式規則,提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法,新演算法在初始種群中引入了啟發式演算法的解,在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略,使優質個體有更多的雜交機會,在變異中設計了變異控制規則,以防種群單一化,而陷入局部優化解。
  10. Adaptive communication of real - time data : combining the real - time event service and scheduling service of tao. and extending the tao real - time event channel, the real - time adaptability of the satellite monitoring and controlling system can be satisfied. the key data can be transmitted and processed in time

    實時數據自適應通信利用tao實時事件服務與調度服務的結合,通過對tao實時事件通道進行功能擴展,體現衛星測控系統在滿足實時性方面的自適應,最終保證關鍵數據的及時傳輸與處理。
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