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reactive tabu search
相关语句
  主动禁忌搜索
    A novel method based on reactive Tabu search (RTS) for volt/Var control in electric power distribution systems is proposed, and its comparison with traditional Tabu search (TS) is given.
    提出将主动禁忌搜索(RTS)算法用于配电网无功电压优化控制问题的求解,并与传统的禁忌搜索(TS)算法进行了比较。
短句来源
    A new method based on reactive tabu search (RTS) is proposed for volt/var control in electric power distribution systems.
    提出将主动禁忌搜索(RTS)算法用于配电网无功电压优化控制问题的求解.
短句来源
  “reactive tabu search”译为未确定词的双语例句
    Volt/Var Control in Distribution Systems with Reactive Tabu Search
    基于主动禁忌搜索的配电网无功电压优化控制
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  reactive tabu search
To this end, we implement a metaheuristic based on reactive tabu search.
      
We design a reactive tabu search metaheuristic that can check feasibility of proposed moves quickly and reacts to repetitions to guide the search.
      
A reactive tabu search algorithm for the vehicle routing problem with simultaneous pickups and deliveries
      
Reactive Tabu Search and Sensor Selection in Active Structural Acoustic Control Problems
      
The combinatorial optimization component, based on the Reactive Tabu Search recently proposed by the authors, locates the most promising "boxes", in which starting points for the local minimizer are generated.
      
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A novel method based on reactive Tabu search (RTS) for volt/Var control in electric power distribution systems is proposed, and its comparison with traditional Tabu search (TS) is given. In RTS scheme, the appropriate size of the Tabu list is learned automatically through reactive mechanism, thus the problem of TS's complex parameter tuning for efficient search is resolved. Combined with the escape mechanism, the approach can escape from the local optimum and avoid the probability...

A novel method based on reactive Tabu search (RTS) for volt/Var control in electric power distribution systems is proposed, and its comparison with traditional Tabu search (TS) is given. In RTS scheme, the appropriate size of the Tabu list is learned automatically through reactive mechanism, thus the problem of TS's complex parameter tuning for efficient search is resolved. Combined with the escape mechanism, the approach can escape from the local optimum and avoid the probability of being trapped in large cycle in TS. Results of simulations on two typical distribution systems indicate the invalidity of RTS and its advantages in flexibility and effectiveness over TS.

提出将主动禁忌搜索(RTS)算法用于配电网无功电压优化控制问题的求解,并与传统的禁忌搜索(TS)算法进行了比较。在利用RTS算法的求解过程中,使用了反馈机制,可自动调节禁忌表长度,解决了TS中复杂参数设置与调节的问题;由于结合逃逸策略,使搜索有效地跳出局部极小点,避免了TS中可能出现的大循环。通过在算例中的应用表明,RTS算法非常适合对该问题的求解,比TS具有更好的灵活性和更高的求解效率。

A new method based on reactive tabu search (RTS) is proposed for volt/var control in electric power distribution systems. Given the day-ahead load forecast, a feasible initial solution for RTS is provided heuristically. In RTS scheme, the appropriate size of the tabu list is learned automatically via reactive mechanism combined with reactive and escape mechanism, thus the approach quickly approximates to the global optimum without being trapped at the local optimum. The results of practical...

A new method based on reactive tabu search (RTS) is proposed for volt/var control in electric power distribution systems. Given the day-ahead load forecast, a feasible initial solution for RTS is provided heuristically. In RTS scheme, the appropriate size of the tabu list is learned automatically via reactive mechanism combined with reactive and escape mechanism, thus the approach quickly approximates to the global optimum without being trapped at the local optimum. The results of practical system simulations verify the proposed method and its advantages in solution rate and effectiveness over the conventional tabu search, genetic algorithm (GA), and simulated annealing (SA). The computing time of RTS is at most half of SA's and GA's.

提出将主动禁忌搜索(RTS)算法用于配电网无功电压优化控制问题的求解.首先根据已知的负荷预测曲线,用一种启发式方法为RTS提供可行初始解.在利用RTS算法的求解过程中,使用了反馈机制,可自动调节禁忌表长度,结合逃逸策略,可以使搜索有效地跳出局部极小点,更好地找到最优解.通过算例验证了该算法的有效性.与传统的禁忌搜索(TS)算法、遗传算法(GA)以及模拟退火(SA)算法进行了比较,算例结果表明,RTS算法求得的解质量更高,求解速度更快,比GA和SA算法至少提高了一倍.

 
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