- آتش پز گرگری ، اسماعیل " توسعه الگوریتم بهینه سازی اجتماعی و بررسی کارایی آن"، مهندسی برق-گرایش کنترل- دانشگاه تهران، 1387
- باجلان ، سعید ؛ فلاحپور، سعید ؛ دانا، ناهید. " پیش بینی روند تغییرات قیمت سهم با استفاده از ماشین بردار پیشتیبان وزن دهی شده و انتخاب ویژگی هیبرید به منظور ارائه استراتژی معاملاتی بهینه" راهبرد مدیریت مالی 1395
- منجمی، سید امیر حسین ؛ ابزری، مهدی ، شوازی، علیرضا رعیتی."پیش بینی قیمت سهام در بازار بورس اوراق بهادار با استفاده از شبکه ی عصبی فازی و الگوریتم های ژنتیک و مقایسه آن با شبکه ی عصبی مصنوعی، فصلنامه اقتصاد مقداری بررسی های اقتصادی سابق، 1388
- Atashpaz Gargary Esmael. (2008). Development of Social Organizational Optimization Algorithm and its Performance Evaluation. Electrical Engineering - Control Taught - Tehran University(in persian).
- Al-Radaideh, Qasem, A., & Adel Abu Alnagi, E. (2013). Predicting Stock Prices Using Data Mining Techniques. The International Arab Conference on Information Technology.
- Ayodele, A. (2012). Stock Price Prediction using Neural Network with Hybridized Market Indicators. Journal of Emerging Trends in Computing and Information Sciences, 3, 2079-8407.
- Bajelan, S., Falahpour, S.Dana,N. (2016). Projection of share price changes using a weighted support machine and selecting a hybrid feature to provide an optimal trading strategy. Financial Management Strategy(in persian).
- Buza, K., Nagy, G. I., & Nanopoulos, A. (2014). Storage-optimizing clustering algorithms for high-dimensional tick data. Expert Systems with Applications, 41, 4148–4157.
- Charles, A., & Darné, O. (2009). The random walk hypothesis for Chinese stock markets: Evidence from variance ratio tests. Economic Systems, 33, 117–126.
- Hajizadeh, E., Ardakani, H. D., & Shahrab, J. (2010). Application of data mining techniques in stock markets:A survey. Journal of Economics and International Finance, 2, 109-118.
- Lee, T.-S., & Chen, N.-J. (2002). Investigating the information content of non-cash-trading index futures using neural networks. Expert Systems with Applications, 22, 225–234.
- Metghalchi, M., Chen, C.-P., & Hayes, L. A. (2015). History of share prices and market efficiency of the Madrid general stock index. International Review of Financial Analysis, 40, 178–184.
- Monajemi, A., Abzari, M.Shavazi,A. (2009). Prognosis of Stock Price in the Stock Market Using Fuzzy Neural Network and Genetic Algorithms and Comparison with Artificial Neural Network. Quarterly Journal of Economics, Some ex-economic studies(in persian).
- Park, Cheol-Ho; Irwin, Scott H. (2007). WHAT DO WE KNOW ABOUT THE PROFITABILITY OF TECHNICAL ANALYSIS? Journal of Economic Surveys, 21, 786–826.
- Talatahari, S., Azar, B. F., Sheikholeslami, R., & Gandomi, A. (2012). Imperialist competitive algorithm combined with chaos for global optimization. Communications in Nonlinear Science and Numerical Simulation, 1312–1319.
- Talatahari, S., Azar, B. F., Sheikholeslami, R., & Gandomi, H. (2012). Imperialist competitive algorithm combined with chaos. Commun Nonlinear Sci Numer Simulat, 17, 1312–1319.
- Talatahari, S., Kaveh, A., & Sheikholeslami, R. (2012). Chaotic imperialist competitive algorithm for optimum design of truss structures. Structural and Multidisciplinary Optimization, 46, 355–367.
- Talataharia, S., Azarb, B. F., Sheikholeslamib, R., & Gandomi, A. (2012). Imperialist competitive algorithm combined with chaos for global optimization. Communications in Nonlinear Science and Numerical Simulation, 1312–1319.
- Ticknor, J. (2013). A Bayesian regularized artificial neural network for stock market forecasting. Expert Systems with Applications, 40, 5501–5506.
- Wang, & Jian-Zhou. (2011). Forecasting stock indices with back propagation neural network. Expert Systems with Applications, 38, 14346–14355.