Contributed by Kay Tancock, k.tancock@elsevier.com
Research Papers
• Kyle Robert Harrison, Saber M. Elsayed, Terence Weir, Ivan L. Garanovich, Sharon G. Boswell, Ruhul A. Sarker, Solving a novel multi-divisional project portfolio selection and scheduling problem, https://doi.org/10.1016/j.engappai.2022.104771
• Alper Kanyilmaz, Patricia Raquel Navarro Tichell, Daniele Loiacono, A genetic algorithm tool for conceptual structural design with cost and embodied carbon optimization, https://doi.org/10.1016/j.engappai.2022.104711
• Selcuk Aslan, An immune plasma algorithm with a modified treatment schema for UCAV path planning, https://doi.org/10.1016/j.engappai.2022.104789
• Decui Liang, Wen Cao, Zeshui Xu, Tri-reference point method for q-rung orthopair fuzzy multiple attribute decision making by considering the interaction of attributes with Bayesian network, https://doi.org/10.1016/j.engappai.2022.104838
• Keivan Tafakkori, Reza Tavakkoli-Moghaddam, Ali Siadat, Sustainable negotiation-based nesting and scheduling in additive manufacturing systems: A case study and multi-objective meta-heuristic algorithms, https://doi.org/10.1016/j.engappai.2022.104836
• Chenliang Li, Xiaobing Yu, Consensus reaching model for counter-intuitive in D–S evidence theory and application under 2-tuple linguistic representation, https://doi.org/10.1016/j.engappai.2022.104832
• Vívian Ludimila Aguiar Santos, Thales Francisco Mota Carvalho, Luciana Pereira de Assis, Miri Weiss-Cohen, Frederico Gadelha Guimarães, Multi-objective Iterated Local Search based on decomposition for job scheduling problems with machine deterioration effect, https://doi.org/10.1016/j.engappai.2022.104826
• João Pedro Araújo, Mário A.T. Figueiredo, Miguel Ayala Botto, Control with adaptive Q-learning: A comparison for two classical control problems, https://doi.org/10.1016/j.engappai.2022.104797
• Shaokang Hou, Yaoru Liu, Early warning of tunnel collapse based on Adam-optimised long short-term memory network and TBM operation parameters, https://doi.org/10.1016/j.engappai.2022.104842
• Fang Li, Chen Liu, Xiyang Yang, Incorporate long association into high-order fuzzy logical relationship based time series forecasting, https://doi.org/10.1016/j.engappai.2022.104844
• Kolawole Ogunsina, Marios Papamichalis, Daniel DeLaurentis, Relational dynamic Bayesian network modeling for uncertainty quantification and propagation in airline disruption management, https://doi.org/10.1016/j.engappai.2022.104846
• Jia Luo, Chaofeng Li, Qinqin Fan, Yuxin Liu, A graph convolutional encoder and multi-head attention decoder network for TSP via reinforcement learning, https://doi.org/10.1016/j.engappai.2022.104848
• Qinghua Su, Gaocheng Cai, Zhongbo Hu, Xianshan Yang, Test case generation using improved differential evolution algorithms with novel hypercube-based learning strategies, https://doi.org/10.1016/j.engappai.2022.104840
• Samuel Yanes Luis, Federico Peralta, Alejandro Tapia Córdoba, Álvaro Rodríguez del Nozal, Sergio Toral Marín, Daniel Gutiérrez Reina, An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources, https://doi.org/10.1016/j.engappai.2022.104852
• Houssem Eddine Mohamadi, Nadjia Kara, Mohand Lagha, Heuristic-driven strategy for boosting aerial photography with multi-UAV-aided Internet-of-Things platforms, https://doi.org/10.1016/j.engappai.2022.104854
• Sujan Ghimire, Binayak Bhandari, David Casillas-Pérez, Ravinesh C. Deo, Sancho Salcedo-Sanz, Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia, https://doi.org/10.1016/j.engappai.2022.104860
• Zaizuo Tang, Guangzhu Chen, Yinhe Han, Xiaojuan Liao, Qingjun Ru, Yuanyuan Wu, Bi-stage multi-modal 3D instance segmentation method for production workshop scene, https://doi.org/10.1016/j.engappai.2022.104858
• Mao Tan, Chenglin Hu, Jie Chen, Ling Wang, Zhengmao Li, Multi-node load forecasting based on multi-task learning with modal feature extraction, https://doi.org/10.1016/j.engappai.2022.104856
• Jinjin Zhang, Chenhui Ma, Chengliang Zhong, Peng Zhao, Xiaodong Mu, Combining feature importance and neighbor node interactions for cold start recommendation, https://doi.org/10.1016/j.engappai.2022.104864
• Hongjie Zhang, Junyan Tan, Jinxin Zhang, Yingyi Chen, Ling Jing, Double information preserving canonical correlation analysis, https://doi.org/10.1016/j.engappai.2022.104870
• Miguel Jara-Maldonado, Vicente Alarcon-Aquino, Roberto Rosas-Romero, A new machine learning model based on the broad learning system and wavelets, https://doi.org/10.1016/j.engappai.2022.104886
• Yi Xie, Yuhan Sheng, Moqi Qiu, Fengxian Gui, An adaptive decoding biased random key genetic algorithm for cloud workflow scheduling, https://doi.org/10.1016/j.engappai.2022.104879
• Yang Yang, Qianfeng Liao, Jiang Wang, Yuan Wang, Application of multi-objective particle swarm optimization based on short-term memory and K-means clustering in multi-modal multi-objective optimization, https://doi.org/10.1016/j.engappai.2022.104866
• Biao Wang, Wenjing Wang, Zhihua Qiao, Guanglei Meng, Zhizhong Mao, Dynamic selective Gaussian process regression for forecasting temperature of molten steel in ladle furnace, https://doi.org/10.1016/j.engappai.2022.104892
• Vladimir Samsonov, Karim Ben Hicham, Tobias Meisen, Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward, https://doi.org/10.1016/j.engappai.2022.104868
Short Survey
• Y.P. Tsang, C.K.M. Lee, Artificial intelligence in industrial design: A semi-automated literature survey, https://doi.org/10.1016/j.engappai.2022.104884
Special Issue on Intelligent Control and Optimisation
• Ismail Koc, Yilmaz Atay, Ismail Babaoglu, Discrete tree seed algorithm for urban land readjustment, https://doi.org/10.1016/j.engappai.2022.104783
• Martin Gregurić, Krešimir Kušić, Edouard Ivanjko, Impact of Deep Reinforcement Learning on Variable Speed Limit strategies in connected vehicles environments, https://doi.org/10.1016/j.engappai.2022.104850
• Min Yue, Guangyuan Fu, Ming Wu, Xin Zhang, Hongyang Gu, Self-supervised monocular depth estimation in dynamic scenes with moving instance loss, https://doi.org/10.1016/j.engappai.2022.104862
