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Integrated genetic algorithms and cloud technology to solve travelling salesman problem on Hadoop

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3 Author(s)
Yi-Chieh Shen ; Dept. of Comput. Sci. & Inf. Eng., Providence Univ., Taichung, Taiwan ; Chi-Hang Hsu ; Sung-Huai Hsieh

Genetic algorithms are an evolutionary technique that use crossover and mutation operators to solve optimization problems using a survival of the fittest idea. They have been used successfully in a variety of different problems, including the traveling salesman problem. Hadoop is one of the most common cloud computing platform in large-scale commercial environment. Complete and strong infrastructure which can help us reduced much development time. We use genetic algorithm solved traveling salesman problem on Hadoop platform to save huge computing processes and time.

Published in:
Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on

Date of Conference: 3-6 Dec. 2012

Page(s):
566 - 569
E-ISBN :
978-1-4673-4509-5
Print ISBN:
978-1-4673-4511-8
INSPEC Accession Number:
13286521
Conference Location :
Taipei
Digital Object Identifier :
10.1109/CloudCom.2012.6427528
Product Type:
Conference Publications

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