Distributed hybrid rice algorithm based on hadoop

EasyChair Preprint 168

Abstract

Hybrid Rice Optimization Algorithm(HRO) is a novel swarm intelligence optimization algorithm based on heuristic evolutionary computation, which is inspired by the cultivation process of three line hybrid rice. In this paper, we design and implement distributed hybrid rice algorithm based on Hadoop, proposing two distributed schemes. Through experiment, we select the better one for further research. By tuning the size of swarm size, we implement comparison experiment on our scheme and traditional HRO. Experiment demonstrate that our scheme shows better performance. What’s more, with the increase of nodes in Hadoop scheme, our scheme shows obvious advantage.

Keyphrases: Distributed HRO, Hadoop, Hybrid Rice Optimization Algorithm(HRO)

@booklet{EasyChair:168,
  author    = {Lingyu Yan and Qixing Luo and Xingpeng Deng and Hongwei Chen and Zhiwei Ye},
  title     = {Distributed hybrid rice algorithm based on hadoop},
  doi       = {10.29007/m11p},
  howpublished = {EasyChair Preprint 168},
  year      = {EasyChair, 2018}}