Clustering using Artificial Bee Colony on CUDA

被引：0

作者：

Janousek, Jan ^{[1
]}

Platos, Jan ^{[1
]}

Snasel, Vaclav ^{[1
]}

机构：

[1] Tech Univ Ostrava, Dept Comp Sci, VSB, FEECS,Innovat IT4, 17 Listopadu 15, Ostrava 70833, Czech Republic

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC) | 2014年

关键词：

parallel algorithm; artificial bee colony; CUDA; clustering; ABC OPTIMIZATION ALGORITHM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Artificial bee colony is a meta-heuristic optimization algorithm based on the behavior of honey bee swarm. These bees work largely independently of other bees, making the algorithm suitable for parallel implementation. Within this paper, we introduce the algorithm itself and its subsequent parallelization utilizing the CUDA platform. The runtime speedup is demonstrated on several commonly used test functions for optimization. The algorithm is subsequently applied to the problem of clustering real data.

引用

页码：3803 / 3807

页数：5

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