Journal articles on the topic 'Improved multi expression programming'
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Chen, Long Bin, and Pei He. "Multi-Subexpression Programming." Applied Mechanics and Materials 411-414 (September 2013): 2067–73. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2067.
Full textZhang, Qingke, Bo Yang, Lin Wang, and Jianzhang Jiang. "An improved multi-expression programming algorithm applied in function discovery and data prediction." International Journal of Information and Communication Technology 5, no. 3/4 (2013): 218. http://dx.doi.org/10.1504/ijict.2013.054952.
Full textWang, Yu. "Study on Improved Flexible Neural Tree Optimization Algorithm." Advanced Materials Research 765-767 (September 2013): 1055–59. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1055.
Full textFarajpanah, Hiwa, Morteza Lotfirad, Arash Adib, et al. "Ranking of hybrid wavelet-AI models by TOPSIS method for estimation of daily flow discharge." Water Supply 20, no. 8 (2020): 3156–71. http://dx.doi.org/10.2166/ws.2020.211.
Full textGiustolisi, O., and D. A. Savic. "Advances in data-driven analyses and modelling using EPR-MOGA." Journal of Hydroinformatics 11, no. 3-4 (2009): 225–36. http://dx.doi.org/10.2166/hydro.2009.017.
Full textChandra Sen. "Improved Weighted Sum Multi Objective Programming." January 2021 7, no. 01 (2021): 111–13. http://dx.doi.org/10.46501/ijmtst070126.
Full textSharifi, Sohrab, Saeed Abrishami, and Amir H. Gandomi. "Consolidation assessment using Multi Expression Programming." Applied Soft Computing 86 (January 2020): 105842. http://dx.doi.org/10.1016/j.asoc.2019.105842.
Full textAl-Saati, Najla, and Taghreed Alreffaee. "Software Effort Estimation Using Multi Expression Programming." AL-Rafidain Journal of Computer Sciences and Mathematics 11, no. 2 (2014): 53–71. http://dx.doi.org/10.33899/csmj.2014.163756.
Full textSheng, Zi Qiang. "Design Multi-Stage Draw by Improved Dynamic Programming." SAE International Journal of Materials and Manufacturing 3, no. 1 (2010): 716–22. http://dx.doi.org/10.4271/2010-01-0987.
Full textOzlen, Melih, Benjamin A. Burton, and Cameron A. G. MacRae. "Multi-Objective Integer Programming: An Improved Recursive Algorithm." Journal of Optimization Theory and Applications 160, no. 2 (2013): 470–82. http://dx.doi.org/10.1007/s10957-013-0364-y.
Full textRomero López, Oscar Javier. "An evolutionary behavioral model for decision making." Adaptive Behavior 19, no. 6 (2011): 451–75. http://dx.doi.org/10.1177/1059712311419680.
Full textDioşan, Laura, and Anca Andreica. "Multi-objective breast cancer classification by using multi-expression programming." Applied Intelligence 43, no. 3 (2015): 499–511. http://dx.doi.org/10.1007/s10489-015-0668-8.
Full textLi, Qu, Hongbing Cheng, and Min Yao. "Adaptive Multi-phenotype Based Gene Expression Programming Algorithm." Chinese Journal of Electronics 25, no. 5 (2016): 807–16. http://dx.doi.org/10.1049/cje.2016.08.041.
Full textFeller, Christian, Tor Arne Johansen, and Sorin Olaru. "An improved algorithm for combinatorial multi-parametric quadratic programming." Automatica 49, no. 5 (2013): 1370–76. http://dx.doi.org/10.1016/j.automatica.2013.02.022.
Full textNI, Sheng-qiao, Chang-jie TANG, Ning YANG, and Jie ZUO. "Gene expression programming algorithm based on multi-threading evaluator." Journal of Computer Applications 32, no. 4 (2013): 986–89. http://dx.doi.org/10.3724/sp.j.1087.2012.00986.
Full textBaykasoğlu, Adil, and Lale Özbakir. "MEPAR-miner: Multi-expression programming for classification rule mining." European Journal of Operational Research 183, no. 2 (2007): 767–84. http://dx.doi.org/10.1016/j.ejor.2006.10.015.
Full textLam, Kim Fung, and Jane W. Moy. "Improved Linear Programming Formulations for the Multi-Group Discriminant Problem." Journal of the Operational Research Society 47, no. 12 (1996): 1526. http://dx.doi.org/10.2307/3010610.
Full textAn, Siguang, Shiyou Yang, Yanan Bai, and Xiushan Wu. "An improved physical programming method for multi-objective inverse problems." International Journal of Applied Electromagnetics and Mechanics 52, no. 3-4 (2016): 1151–59. http://dx.doi.org/10.3233/jae-162123.
Full textFung Lam, Kim, and Jane W. Moy. "Improved Linear Programming Formulations for the Multi-group Discriminant Problem." Journal of the Operational Research Society 47, no. 12 (1996): 1526–29. http://dx.doi.org/10.1057/jors.1996.196.
Full textLam, Kim Fung, and Jane W. Moy. "Improved Linear Programming Formulations for the Multi-group Discriminant Problem." Journal of the Operational Research Society 47, no. 12 (1996): 1526–29. http://dx.doi.org/10.1057/palgrave.jors.0471210.
Full textPeng, YuZhong, ChangAn Yuan, Xiao Qin, JiangTao Huang, and YaBing Shi. "An improved Gene Expression Programming approach for symbolic regression problems." Neurocomputing 137 (August 2014): 293–301. http://dx.doi.org/10.1016/j.neucom.2013.05.062.
Full textZhang, Yong Bin, Tai Yong Wang, Yan Yu Ding, Teng Yue Shen, Jia Jia Dong, and Shan Gao. "Parametric Programming of Multi-Type Holes Using the Improved Genetic Algorithm." Key Engineering Materials 764 (February 2018): 333–41. http://dx.doi.org/10.4028/www.scientific.net/kem.764.333.
Full textJadidi, O., S. Cavalieri, and S. Zolfaghari. "An improved multi-choice goal programming approach for supplier selection problems." Applied Mathematical Modelling 39, no. 14 (2015): 4213–22. http://dx.doi.org/10.1016/j.apm.2014.12.022.
Full textMa, Xin, and Zhi-bin Liu. "Predicting the Oil Well Production Based on Multi Expression Programming." Open Petroleum Engineering Journal 9, no. 1 (2016): 21–32. http://dx.doi.org/10.2174/1874834101609010021.
Full textLi, Yan Mei, and Jing Min Wang. "The Short-Term Load Forecasting Model Based on Improved Gene Expression Programming Arithmetic." Advanced Materials Research 219-220 (March 2011): 1395–98. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.1395.
Full textZeremdini, Jihen, Mohamed Anouar Ben Messaoud, and Aicha Bouzid. "Multi-pitch estimation based on multi-scale product analysis, improved comb filter and dynamic programming." International Journal of Speech Technology 20, no. 2 (2017): 225–37. http://dx.doi.org/10.1007/s10772-017-9398-0.
Full textZhang, Yong Qiang, and Jing Xiao. "Population Diversity Strategy in Gene Expression Programming." Advanced Materials Research 204-210 (February 2011): 288–92. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.288.
Full textYang, Lei, Kangshun Li, Wensheng Zhang, and Yaolang Kong. "Short-term vegetable prices forecast based on improved gene expression programming." International Journal of High Performance Computing and Networking 11, no. 3 (2018): 199. http://dx.doi.org/10.1504/ijhpcn.2018.091891.
Full textKong, Yaolang, Kangshun Li, Wensheng Zhang, and Lei Yang. "Short-term vegetable prices forecast based on improved gene expression programming." International Journal of High Performance Computing and Networking 11, no. 3 (2018): 199. http://dx.doi.org/10.1504/ijhpcn.2018.10012996.
Full textAl-Rabeeah, Masar, Ali Al-Hasani, Santosh Kumar, and Andrew Eberhard. "Enhancement of the Improved Recursive Method for Multi-objective Integer Programming Problem." Journal of Physics: Conference Series 1490 (March 2020): 012061. http://dx.doi.org/10.1088/1742-6596/1490/1/012061.
Full textChe, Ada, Weidong Lei, Jianguang Feng, and Chengbin Chu. "An Improved Mixed Integer Programming Approach for Multi-Hoist Cyclic Scheduling Problem." IEEE Transactions on Automation Science and Engineering 11, no. 1 (2014): 302–9. http://dx.doi.org/10.1109/tase.2013.2254713.
Full textKumar, Soumojit, and Ashis Kumar Chatterjee. "An improved mathematical programming formulation and application of multi-attribute choice behaviour." International Journal of Operational Research 25, no. 1 (2016): 100. http://dx.doi.org/10.1504/ijor.2016.073253.
Full textMehr, Ali Danandeh, and Amir H. Gandomi. "MSGP-LASSO: An improved multi-stage genetic programming model for streamflow prediction." Information Sciences 561 (June 2021): 181–95. http://dx.doi.org/10.1016/j.ins.2021.02.011.
Full textAlavi, Amir Hossein, Amir Hossein Gandomi, Mohammad Ghasem Sahab, and Mostafa Gandomi. "Multi expression programming: a new approach to formulation of soil classification." Engineering with Computers 26, no. 2 (2009): 111–18. http://dx.doi.org/10.1007/s00366-009-0140-7.
Full textWang, Han-Lin, and Zhen-Yu Yin. "High performance prediction of soil compaction parameters using multi expression programming." Engineering Geology 276 (October 2020): 105758. http://dx.doi.org/10.1016/j.enggeo.2020.105758.
Full textGandomi, Amir Hossein, Amir Hossein Alavi, and Gun Jin Yun. "Formulation of uplift capacity of suction caissons using multi expression programming." KSCE Journal of Civil Engineering 15, no. 2 (2011): 363–73. http://dx.doi.org/10.1007/s12205-011-1117-9.
Full textJohnson, James E., Praveen Kumar, Caleb Easterly, et al. "Improve your Galaxy text life: The Query Tabular Tool." F1000Research 7 (October 5, 2018): 1604. http://dx.doi.org/10.12688/f1000research.16450.1.
Full textJohnson, James E., Praveen Kumar, Caleb Easterly, et al. "Improve your Galaxy text life: The Query Tabular Tool." F1000Research 7 (January 9, 2019): 1604. http://dx.doi.org/10.12688/f1000research.16450.2.
Full textDanandeh Mehr, Ali. "An improved gene expression programming model for streamflow forecasting in intermittent streams." Journal of Hydrology 563 (August 2018): 669–78. http://dx.doi.org/10.1016/j.jhydrol.2018.06.049.
Full textHao, Zhai Liu, Zu Yuan Liu, and Bai Wei Feng. "Application of Multi-Objective Optimization Algorithm Based on Physical Programming in Ship Conceptual Design." Advanced Materials Research 904 (March 2014): 408–13. http://dx.doi.org/10.4028/www.scientific.net/amr.904.408.
Full textAkbari, Amir, and Paul I. Barton. "An Improved Multi-parametric Programming Algorithm for Flux Balance Analysis of Metabolic Networks." Journal of Optimization Theory and Applications 178, no. 2 (2018): 502–37. http://dx.doi.org/10.1007/s10957-018-1281-x.
Full textJia, Liping, Yuping Wang, and Lei Fan. "An improved uniform design-based genetic algorithm for multi-objective bilevel convex programming." International Journal of Computational Science and Engineering 12, no. 1 (2016): 38. http://dx.doi.org/10.1504/ijcse.2016.074562.
Full textSun, Min, and Hongchun Sun. "Improved proximal ADMM with partially parallel splitting for multi-block separable convex programming." Journal of Applied Mathematics and Computing 58, no. 1-2 (2017): 151–81. http://dx.doi.org/10.1007/s12190-017-1138-8.
Full textSilva, Rodrigo F., Mohammad Masudur Rahman, Carlos Eduardo Dantas, Chanchal Roy, Foutse Khomh, and Marcelo A. Maia. "Improved retrieval of programming solutions with code examples using a multi-featured score." Journal of Systems and Software 181 (November 2021): 111063. http://dx.doi.org/10.1016/j.jss.2021.111063.
Full textMaity, Gurupada, and Sankar Kumar Roy. "Solving fuzzy transportation problem using multi-choice goal programming." Discrete Mathematics, Algorithms and Applications 09, no. 06 (2017): 1750076. http://dx.doi.org/10.1142/s1793830917500768.
Full textWang, Wei Hong, Yan Ye Du, and Qu Li. "Multi-Objective Optimization Algorithm Based on Gene Expression Programming and Virus Evolution." Advanced Materials Research 225-226 (April 2011): 372–76. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.372.
Full textHossein Alavi, Amir, Ali Mollahasani, Amir Hossein Gandomi, and Jafar Boluori Bazaz. "Formulation of secant and reloading soil deformation moduli using multi expression programming." Engineering Computations 29, no. 2 (2012): 173–97. http://dx.doi.org/10.1108/02644401211206043.
Full textGandomi, Amir H., Ali Faramarzifar, Peyman Ghanad Rezaee, Abazar Asghari, and Siamak Talatahari. "NEW DESIGN EQUATIONS FOR ELASTIC MODULUS OF CONCRETE USING MULTI EXPRESSION PROGRAMMING." Journal of Civil Engineering and Management 21, no. 6 (2015): 761–74. http://dx.doi.org/10.3846/13923730.2014.893910.
Full textChen, Xing, Wenhai Zhang, Yu Hou, and Lin Yang. "Improved stereo matching algorithm based on multi-scale fusion." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 4 (2021): 876–82. http://dx.doi.org/10.1051/jnwpu/20213940876.
Full textLi, Kangshun, Yan Chen, Wei Li, Jun He, and Yu Xue. "Improved gene expression programming to solve the inverse problem for ordinary differential equations." Swarm and Evolutionary Computation 38 (February 2018): 231–39. http://dx.doi.org/10.1016/j.swevo.2017.07.005.
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