A Parallel Genetic Algorithm is Studied in Hadoop and Solves the Site Selection of Emergency Facilities
ZHANG Gang-hong
Abstract：With the development of Cloud Computing,Big Data emerges.It is a hot issue how valuable data can be gained from Big data.The gradual development of society result in more natural disasters so that the scale of ifrst-aid facilities must be expanded.At the same time,it is the key of emergency management system how largee-scale site selection is ifnished.So a parallel genetic algorithm is presented and coded in Hadoop platform .It is used to solve the set covering model of the site selection of emergency facilities to ifnally settle that.Testing result proves that the two aspects of the improved algorithm is better than before.One aspect is getting globally optimal solution.The other is more time effifciency.It is a efffective to solve the site selection of emergency facilities in Cloud Computing.
Keywords：Cloud computingBig dataSite selection of emergency facilitiesHadoop platformGenetic algorithm
Publication Date：2014-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：5( 81-85 )