High performance parallel evolutionary algorithm model based on MapReduce framework
Published in International Journal of Computer Applications in Technology • Jan 1, 2013
NobleIDNI2P91W20R22S03
Authors:,,
Xin Du
Youcong Ni
Zhiqiang Yao
Abstract
Evolutionary algorithms (EAs) are increasingly being applied to large-scale problems. MapReduce is a powerful abstraction proposed by Google for making scalable and fault tolerant applications. However, how to design high performance parallel EA based on MapReduce (MR-PEA) is still an open problem. ...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!