一种紧凑的花授粉算法优化

Thi-Kien Dao, Tien-Szu Pan, Trong-The Nguyen, S. Chu, Jeng-Shyang Pan
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引用次数: 6

摘要

受限的硬件条件是优化问题的难点。本文提出了一种新颖的紧凑型传粉算法,用于解决硬件条件受限的一类优化问题。该方法不存储暂定解的实际总体,而是采用基于单次竞争的新的总体概率表示。在仿真中,利用基准测试中的几个数值优化问题来评估所提出方法的精度、计算时间和节省的内存。与原算法和文献中其他算法的比较结果表明,新算法提供了利用有限内存的有效途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Compact Flower Pollination Algorithm Optimization
A restricted hardware condition is difficult for optimization problems. This paper proposes a novel compact flower pollination algorithm for addressing the class of optimization problems in the restricted hardware condition. In this proposed method, the actual population of tentative solutions is not stored, but a novel probabilistic representation on the population is employed based on the single competition. In the simulation, several problems of numerical optimizations in the benchmark are used to evaluate the accuracy, the computational time and the saving memory of the proposed method. The results compared with the original algorithm and the other algorithms in the literature show that the new proposed method provides the effective way of using a limited memory.
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