烟花算法用于多卫星控制资源调度问题

Zhenbao Liu, Zuren Feng, Liangjun Ke
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引用次数: 28

摘要

针对多卫星控制资源调度问题,提出了烟花算法(FWA)。FWA是一种元启发式方法,广泛应用于连续问题,而MSCRSP是一个有约束的大规模组合问题。该算法的关键是定义一个合适的邻域结构来启动局部搜索过程,并找到一个度量来量化解之间的差异。提出了三种邻域结构,选取了最适合的邻域结构。由于该问题的特殊性,将每个解转化为一个二值向量,并采用汉明距离来定义视差度量。实验结果表明,该方法具有较强的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fireworks algorithm for the multi-satellite control resource scheduling problem
In this study, fireworks algorithm (FWA) for the multi-satellite control resource scheduling problem (MSCRSP) is presented. FWA is a meta-heuristic method and widely used in continuous problems while MSCRSP is a constrained and large scale combinatorial problem. The key points of FWA are to define a suitable neighborhood structure for launching the local search procedure and to find a metric for quantifying the disparity between solutions. Three kinds of neighborhood structures are presented and the best fitted one is picked. Due to the speciality of this problem, each solution is transformed into a binary vector, and Hamming distance is adopted for defining disparity metric. The experimental results demonstrate the proposed FWA is more competitive than those commonly used methods.
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