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Journal of Statistics and Management Systems Volume 13, 2010 - Issue 4: Organizational Innovation
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Original Articles

Performance comparison between Genetic Algorithm and Particle Swarm Optimization based on back propagation network in forecasting exchange rate

Jui-Fang Chang Department of International Business, National Kaohsiung University of Applied Sciences, Kaohsiung, 807, Taiwan E-mail: [email protected]
&
Ying-Jye Lee Department of Cultural Business Development, National Kaohsiung University of Applied Sciences, Kaohsiung, 807, Taiwan E-mail: [email protected]
Pages 805-821 | Published online: 14 Jun 2013

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Shikha Agarwal & Prabhat Ranjan. (2017) Map reduce fuzzy ternary particle swarm optimization for feature selection. Journal of Statistics and Management Systems 20:4, pages 601-609.
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Articles from other publishers (5)

Noe Elisa, Longzhi Yang, Fei Chao & Nitin Naik. (2020) A Comparative Study of Genetic Algorithm and Particle Swarm optimisation for Dendritic Cell Algorithm. A Comparative Study of Genetic Algorithm and Particle Swarm optimisation for Dendritic Cell Algorithm.
Kyrylo Klimenko. (2019) In silico identification of endogenous and exogenous agonists of Estrogen-related receptor α. Computational Toxicology 10, pages 105-112.
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Yanmei Meng, Qiliang Lan, Johnny Qin, Shuangshuang Yu, Haifeng Pang & Kangyuan Zheng. (2019) Data-driven soft sensor modeling based on twin support vector regression for cane sugar crystallization. Journal of Food Engineering 241, pages 159-165.
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Dadabada Pradeepkumar & Vadlamani Ravi. (2018) Soft computing hybrids for FOREX rate prediction: A comprehensive review. Computers & Operations Research 99, pages 262-284.
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Vadlamani Ravi, Dadabada Pradeepkumar & Kalyanmoy Deb. (2017) Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms. Swarm and Evolutionary Computation 36, pages 136-149.
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