优化参数改进启发式方法:更多更好的NP-hard实时问题的解决方案

E. Ferro, Jorge Santos, J. Orozco, R. Cayssials
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引用次数: 3

摘要

本文提出了一种优化的启发式方法,用于解决将一组具有位置、资源、通信、时间和优先级约束的可抢占任务分配给一组异构处理器的np困难问题。根据调优参数的不同,有两个版本。它们比未调优的版本产生更多更好的解决方案(例如,使用较少负载的通信网络)。给出了获得第一个解的时间和已知不同问题的解的个数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tuning parameters to improve a heuristic method: more and better solutions to an NP-hard real-time problem
The paper presents a tuned heuristic method to solve the NP-hard problem of assigning a set of preemptible tasks with placement, resource, communication, time and precedence constraints to a set of heterogeneous processors. Depending on the tuning parameters, two versions are described. They produce more and better (e.g. with a less loaded communication network) solutions than the untuned version. Time to obtain the first solution and the number of solutions found for different known problems are given.
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