Computer Science ›› 2016, Vol. 43 ›› Issue (9): 116-119, 139.doi: 10.11896/j.issn.1002-137X.2016.09.022

Previous Articles     Next Articles

SparkDE:A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model in Cloud Computing

TAN Xu-jie, DENG Chang-shou, DONG Xiao-gang, YUAN Si-hao, WU Zhi-jian and PENG Hu   

  • Online:2018-12-01 Published:2018-12-01

Abstract: MapReduce is a popular cloud computing model which has been applied in data-intensive fields,and Hadoop which is based on MapReduce has been successfully used in dealing with big data.However,when dealing with computation-intensive tasks,particularly iterative computation,frequent loading of Map and Reduce processes will lead to overload.Resilient distributed dataset has been implemented in Spark,and it is an in-memory clustering computing model which can overcome this shortcoming efficiently.In this paper,a parallel version of differential evolution based on RDD (resilient distributed datasets) model named SparkDE was proposed.In SparkDE,the whole population is divided into several islands which evolve on their own,and then each island is deployed into a partition of RDD.After evolution for predefined generation in each island,migration operator is used calculation between islands.A wide range of benchmark problems are adopted to conduct numerical experiments.Compared with MapReduce (MRDE) based DE and classical DE,the results show that SparkDE can achieve higher accuracy of solution and faster speed of computation.The speedup of SparkDE is obvious.Thus SparkDE can serve as the next generation of optimizer in cloud computing.

Key words: Parallel differential evolution,Island model,Resilient distributed datasets,Transformation operation,Action operation

[1] 王宇平.进化计算的理论和方法[M].北京:科学出版社,2011
[2] Eiben A E,Smith J.From evolutionary computation to the evolution of things[J].Nature,2015,521(7553):476-482
[3] Vesterstrom J,Thomsen R.A comparative study of differential evolution,particle swarm optimization,and evolutionary algorithms on numerical benchmark problems[C]∥IEEE on CEC 2004.IEEE,2004:1980-1987
[4] Rocca P,Oliveri G,Massa A.Differential evolution as applied to electromagnetics[J].Antennas and Propagation Magazine,IEEE,2011,53(1):38-49
[5] Shen Ji-nan,Liang Fang,Zheng Ming-hui.Deep predation and secondary gradient acceleration differential evolution algorithm[J].J.Huazhong Univ.of Sci.& Tech.(Natural Science Edition), 2014,2(11):23-27,3(in Chinese) 沈济南,梁芳,郑明辉.深度捕食二次梯度加速差分进化算法[J].华中科技大学学报(自然科学版),2014,2(11):23-27,3
[6] Chen Ying,Lin Ying,Hu Xiao-min.Parallel Differential Evolution with Multi-Population and Multi-Strategy[J].Journal of Frontiers of Computer Science and Technology,2014,8(12):1502-1510(in Chinese) 陈颖,林盈,胡晓敏.多种群多策略的并行差分进化算法[J].计算机科学与探索,2014,8(12):1502-1510
[7] Bi Xiao-jun,Liu Guo-an, Xiao Jing.Dynamic Adaptive Differential Evolution Based on Novel Mutation Strategy[J].Journal of Computer Research and Development,2012,9(6):1288-1297(in Chinese) 毕晓君,刘国安,肖婧.基于新变异策略的动态自适应差分进化算法[J].计算机研究与发展,2012,9(6):1288-1297
[8] Dean J,Chemawat S.MapReduce:simplified data processing on large clusters[J].Communications of the ACM,2008,1(1):107-113
[9] Wang Zhao-yuan,Li Tian-rui,Yi Xiu-wen.Approach for Development of Ant Colony Optimization Based on MapReduce[J].Computer Science,2014,1(7):261-265(in Chinese) 王诏远,李天瑞,易修文.基于MapReduce的蚁群优化算法实现方法[J].计算机科学,2014,1(7):261-265
[10] Zhou C.Fast parallelization of differential evolution algorithmusing MapReduce[C]∥Proceedings of the 12th Annual Confe-rence on Genetic and Evolutionary Computation.ACM,2010:1113-1114
[11] Pavlech M.Framework for Development of Distributed Evolutionary Algorithms Based on MapReduce[C]∥Annals of DAAAM for 2011 & Proceedings of the 22nd International DAAAM Symposium Intelligent Manufacturing & Automation:Power of Knowledge and Creativity.Vienna:DAAAM International Vienna.2011:1475-1476
[12] 夏俊鸾,刘旭辉,邵赛赛,等.Spark大数据处理技术[M].北京:电子工业出版社,2015
[13] Zaharia M,Chowdhury M,Das T,et al.Resilient distributeddatasets:A fault-tolerant abstraction for in-memory cluster computing[C]∥Proceedings of the 9th USENIX Conference on Networked Systems Design and Implementation.USENIX Association,2012:1-16
[14] Jumonj T,Chakraborty G,Mabuchi H,et al.A novel distributed genetic algorithm implementation with variable number of islands[C]∥IEEE Congress on Evolutionary Computation,2007(CEC 2007).IEEE,2007:4698-4705
[15] Yao X,Liu Y,Lin G.Evolutionary programming made faster[J].IEEE Transactions on Evolutionary Computation,1999,3(2):82-102
[16] Yang Z,Tang K,Yao X.Large scale evolutionary optimizationusing cooperative coevolution [J].Information Sciences,2008,178(15):2985-2999
[17] Kiyouharu T,Takashi I.Concurrent Differential EvolutionBased on MapReduce[J].International Journal of Computers,2010,4(4):161-168

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75, 88 .
[2] XIA Qing-xun and ZHUANG Yi. Remote Attestation Mechanism Based on Locality Principle[J]. Computer Science, 2018, 45(4): 148 -151, 162 .
[3] LI Bai-shen, LI Ling-zhi, SUN Yong and ZHU Yan-qin. Intranet Defense Algorithm Based on Pseudo Boosting Decision Tree[J]. Computer Science, 2018, 45(4): 157 -162 .
[4] WANG Huan, ZHANG Yun-feng and ZHANG Yan. Rapid Decision Method for Repairing Sequence Based on CFDs[J]. Computer Science, 2018, 45(3): 311 -316 .
[5] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[6] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[7] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[8] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[9] ZHONG Fei and YANG Bin. License Plate Detection Based on Principal Component Analysis Network[J]. Computer Science, 2018, 45(3): 268 -273 .
[10] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99, 116 .