HereBoy: a fast evolutionary algorithm

Delon Levi
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引用次数: 43

Abstract

HereBoy is an evolutionary algorithm that combines features from genetic algorithms and simulated annealing, and also adds a new methodology for exploring the search space. It is particularly well suited for exploring large spaces, like those associated with evolvable hardware, although it can be applied to a wide range of search/optimization problems. Experimental data consistently shows that when compared to both genetic algorithms and simulated annealing, HereBoy requires up to 100X fewer iterations than a genetic algorithm and up to 10X fewer iterations than simulated annealing. In some cases HereBoy is able to solve problems to a degree of accuracy that a generic algorithm is unable to achieve. HereBoy also scales from small problems to larger problems significantly better than the other two algorithms.
HereBoy:一个快速进化算法
HereBoy是一种结合了遗传算法和模拟退火算法特点的进化算法,并增加了一种探索搜索空间的新方法。它特别适合于探索大空间,比如与可进化硬件相关的空间,尽管它可以应用于广泛的搜索/优化问题。实验数据一致表明,与遗传算法和模拟退火相比,HereBoy所需的迭代次数比遗传算法少100倍,比模拟退火少10倍。在某些情况下,HereBoy能够以通用算法无法达到的精度解决问题。HereBoy从小问题扩展到大问题的能力也明显优于其他两种算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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