期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：8106-8109
出版社：TechScience Publications
摘要：These days many big organizations are striving for lower consumption rate of goods especially in retail market. Artificial intelligence is the key to resolve it. Artificial intelligence is known for solving real time problems. In this research paper we concentrate over decision making problems in retail market to improve productivity. Present day scenario clearly indicates about the competition among the many retail marts or stores. Our approach clearly helps in increasing productivity with the help of data mining and evolutionary algorithms like genetic algorithm and particle swarm optimization. In this paper we represent the pseudo algorithm of our approach with the sample data set collected by a short survey of retail store in locals.
