2005 – Prague
- Theory
Immunity-based hybrid learning methods for approximator structure and parameter adjustment
Yixin Diao and Kevin M. Passino (US)
Engineering Applications of Artificial Intelligence, Vol. 15, Issue 6, pp. 587–600, 2002
https://doi.org/10.1016/S0952-1976(03)00003-4 - Symbolic AI
Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets
Mano Ram Maurya, Raghunathan Rengaswamy and Venkat Venkatasubramanian (US)
Engineering Applications of Artificial Intelligence, Vol. 17, Issue 5, pp. 501–518, 2004
https://doi.org/10.1016/j.engappai.2004.03.007 - Sub-Symbolic AI
Optimization of physical flows in an automotive manufacturing plant: some experiments and issues
E. Muhl, P. Charpentier and F. Chaxel (FR)
Engineering Applications of Artificial Intelligence, Vol. 16, Issue 4, pp. 293–305, 2003
https://doi.org/10.1016/S0952-1976(03)00081-2
2008 – Seoul
- Theory
Modelling of electrostatic fluidized bed (EFB) coating process using artificial neural networks
M.Barletta, A.Gisario, S.Guarino (IT)
Engineering Applications of Artificial Intelligence, Vol. 20, Issue 6, pp. 721–733, 2007
https://doi.org/10.1016/j.engappai.2006.06.013
2011 – Milan
- Theory
Two coding based adaptive parallel co-genetic algorithm with double agents structure
Yong-Ming Li, Xiaoping Zeng, Liang Han, Pin Wang (CN)
Engineering Applications of Artificial Intelligence, Vol. 23, Issue 4, pp. 526–542, 2010
https://doi.org/10.1016/j.engappai.2009.04.004 - Symbolic AI
Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA)
N. Nariman-Zadeh, M. Salehpour, A. Jamali, E. Haghgoo (IR)
Engineering Applications of Artificial Intelligence, Vol. 23, Issue 4, pp. 543–551, 2010
https://doi.org/10.1016/j.engappai.2009.08.008
2014 – Cape Town
- Theory
Type-2 fuzzy sliding mode control without reaching phase for nonlinear system
A. Al-Khazraji, N. Essounbouli, A. Hamzaoui, F. Nollet and J. Zaytoon (FR)
Engineering Applications of Artificial Intelligence, Vol. 24, Issue 1, pp. 23–38, 2011
https://doi.org/10.1016/j.engappai.2010.09.009 - Symbolic AI
An improvement for semantics-based recommender systems grounded on attaching temporal information to ontologies and user profiles.
Y. Blanco-Fernandez, M. Lopez-Nores, J.J. Pazos-Arias and J. Garcia-Duque (ES)
Engineering Applications of Artificial Intelligence, Vol. 24, Issue 8, pp. 1385–1397, 2011
https://doi.org/10.1016/j.engappai.2011.02.020
2017 – Toulouse
- Theory
Protein secondary structure optimization using an improved artificial bee colony algortihm based and AB off-lattice model.
B. Li, Y. Li, L. Gong (CN)
Engineering Applications of Artificial Intelligence, Vol. 27, no issue, pp. 70–79, 2014
https://doi.org/10.1016/j.engappai.2013.06.010 - Symbolic AI
Iterated variable neighborhood search for the capacitated clustering problem
X. Lai and J.K. Hao (CN/FR)
Engineering Applications of Artificial Intelligence, Vol. 56, no issue, pp. 102–120, 2016
https://doi.org/10.1016/j.engappai.2016.08.004
2020 – Berlin
- Theory
Mining of skyline patterns by considering both frequent and utility constraints.
Lin J.C.-W., Yang L., Fournier-Viger P., Hong T.-P. (NO/CN/CN/TW(CN))
Engineering Applications of Artificial Intelligence, Vol. 77, no issue, pp. 229–238, 2019
https://doi.org/10.1016/j.engappai.2018.10.010 - Symbolic AI
A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry.
Lu C., Gao L., Li X., Xiao S (CN)
Engineering Applications of Artificial Intelligence, Vol. 57, no issue, pp. 61–79, 2017
https://doi.org/10.1016/j.engappai.2016.10.013
2023 – Yokohama
- Theory
QANA: Quantum-based avian navigation optimizer algorithm
Zamani H., Nadimi-Shahraki M.H., Gandomi A.H. (IR, AU)
Engineering Applications of Artificial Intelligence, Vol. 104, no issue, 104314, September 2021
https://doi.org/10.1016/j.engappai.2021.104314 - Symbolic AI
Bayesian retinex underwater image enhancement
Zhuang P., Li C., Wu J. (CN, SG)
Engineering Applications of Artificial Intelligence, Vol. 101, no issue, 104171, May 2021
https://doi.org/10.1016/j.engappai.2021.104171
2026 – Busan
- Theory
MCA: Multidimensional collaborative attention in deep convolutional neural networks for image recognition
Y. Yu, Y. Zhang, Z. Cheng, Z. Song, C. Tang
Engineering Applications of Artificial Intelligence, Vol. 126, Part C, 107079, 2023
https://doi.org/10.1016/j.engappai.2023.107079 - Application
Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value
W. Cai, A.B. Kordabad, S. Gros
Engineering Applications of Artificial Intelligence, Vol. 119, no issue, 105793, 2023
https://doi.org/10.1016/j.engappai.2022.105793
