[109] Sweta Singh, Adam Slowik, Neeraj Kanwar, Nand K. Meena, „Techno-economic Feasibility Analysis of Grid-Connected Microgrid Design with the use of Modified Multi-strategy Fusion Artificial Bee Colony Algorithm”, Energies, Vol. 14, Issue 1, 190, 2021, Impact Factor in 2021: 3.252, doi: 10.3390/en14010190

[110] Małgorzata Smuga-Kogut, Tomasz Kogut, Roksana Markiewicz, Adam Słowik, „Use of machine learning methods for predicting amount of bioethanol obtained from lignocellulosic biomass with the use of ionic liquids for pretreatment”, Energies, Vol. 14, Issue 1, 243, 2021, Impact Factor in 2021: 3.252, doi: 10.3390/en14010243

[111] Yu Xue, Yan Zhao, Adam Slowik, „Classification Based on Brain Storm Optimization with Feature Selection”, IEEE Access, Vol. 9, pp. 16582-16590, 2021, Impact Factor in 2021: 3.476, doi: 10.1109/ACCESS.2020.3045970

[112] Tomasz Kogut, Adam Slowik, „Classification of Airborne Laser Bathymetry Data Using Artificial Neural Networks”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, pp. 1959-1966, 2021, Impact Factor in 2021: 4.715, doi: 10.1109/JSTARS.2021.3050799

[113] Yu Xue, Yiling Tong, Ziming Yuan, Shoubao Su, Adam Slowik, Sam Toglaw, „Handwritten Character Recognition Based on Improved Convolutional Neural Network”, Intelligent Automation and Soft Computing, Vol. 29, Issue 2, pp. 497-509, 2021, Impact Factor in 2021: 3.401, doi: 10.32604/iasc.2021.016884

[114] Gaurav Dhiman, Krishna Kant Singh, Adam Slowik, Victor Chang, Ali Riza Yildiz, Amandeep Kaur, Meenakshi Garg, „EMoSOA: A New Evolutionary Multi-objective Seagull Optimization Algorithm for Global Optimization”, International Journal of Machine Learning and Cybernetics, Volume 12, pp. 571-596, 2021, Impact Factor in 2021: 4.377, doi: 10.1007/s13042-020-01189-1

[115] Morteza Babazadeh Shareh, Shirin Hatami Bargh, Ali Asghar Rahmani Hosseinabadi, Adam Slowik, „An Improved Bat Optimization Algorithm to Solve the Tasks Scheduling Problem in Open Shop„, Neural Computing and Applications, Volume 33, pp. 1559-1573, 2021, Impact Factor in 2021: 5.102, doi: 10.1007/s00521-020-05055-7,

 [116] Walaa H. El-Ashmawi, Ahmed F. Ali, Adam Slowik, „Hybrid crow search and uniform crossover algorithm-based clustering for top-N recommendation system”, Neural Computing and Applications, Volume 33, pp. 7145-7164, 2021, doi: 10.1007/s00521-020-05482-6, Impact Factor in 2021: 5.102,

[117] Gaurav Dhiman, Krishna K. Singh, Mukesh Soni, Atulya Nagar. Mohammad Dehghani, Adam Slowik, Amandeep Kaur, Ashutosh Sharma, Essam H. Houssein, Korhan Cengiz, „MOSOA: A New Multi-objective Seagull Optimization Algorithm”, Expert Systems with Applications, Volume 167, Article ID: 114150, 1 April 2021, doi: 10.1016/j.eswa.2020.114150, Impact Factor in 2021: 8.665

[118] Yu Xue, Haokai Zhu, Jiayu Liang, Adam Slowik, „Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification”, Knowledge-Based Systems, Volume 227, Article ID: 107218, 5 September 2021, doi: 10.1016/j.knosys.2021.107218, Impact Factor in 2021: 8.139

[119] Krystian Łapa, Krzysztof Cpałka, Adam Słowik, „Population management approaches in the OPn algorithm”, 20th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2021, 20-24 June 2021, Zakopane, Poland, Lecture Notes on Artificial Intelligence, Vol. 12854, pp. 402-414, Springer, 2021, doi: 10.1007/978-3-030-87986-0_36

[120] Yu Xue, Yankang Wang, Jiayu Liang, Adam Slowik, „A Self-adaptive Mutation Neural Architecture Search Algorithm Based on Blocks”, IEEE Computational Intelligence Magazine, Volume 16, Issue 3, pp. 67-78, 2021, doi: 10.1109/MCI.2021.3084435, Impact Factor in 2021: 9.809

[121] Dorin Moldovan, Adam Slowik, „Energy consumption prediction of appliances using machine learning and multi-objective binary grey wolf optimization for feature selection”, Applied Soft Computing, Volume 111, Article ID: 107745, November 2021, doi: 10.1016/j.asoc.2021.107745, Impact Factor in 2021: 8.263

[122] Yu Xue, Jiafeng Qin, Shoubao Su, Adam Slowik, „Brain Storm Optimization Based Clustering for Learning Behavior Analysis”, Computer Systems Science and Engineering, Volume 39, Number 2, pp. 211-219, 2021, doi: 10.32604/csse.2021.016693, Impact Factor in 2021: 4.397

[123] Rajesh Venkatachalapathy, Martin Zwick, Adam Slowik, Kai Brooks, Mikhail Mayers, Roman Minko, Tyler Hull, Bliss Brass, Marek Perkowski, „Universal Biological Motions for Educational Robot Theatre and Games”, International Conference on Information and Digital Technologies, IDT 2021, Zilina, Slovakia, pp. 162-170, 2021, doi: 10.1109/IDT52577.2021.9497592

[124] Gaurav Dhiman, Mukesh Soni, Hari Mohan Pandey, Adam Slowik, Harsimran Kaur, „A Novel Hybrid Evolutionary Algorithm based on Hypervolume Indicator and Reference Vector Adaptation Strategies for Many-Objective Optimization”,  Engineering with Computers, Volume 37, pp. 3017-3035, 2021, doi: 10.1007/s00366-020-00986-0, Impact Factor in 2021: 8.083

[125] Poria Pirozmand, Ali Asghar Rahmani Hosseinabadi, Maedeh Farrokhzad, Mehdi Sadeghilalimi, Seyedsaeid Mirkamali, Adam Slowik, „Multi-Objective Hybrid Genetic Algorithm for Task Scheduling Problem in Cloud Computing”, Neural Computing and Applications, Volume 33, pp. 13075-13088, 2021, doi: 10.1007/s00521-021-06002-w, Impact Factor in 2021: 5.102

[126] Fereshteh Jeyafzam, Babak Vaziri, Mohsen Yaghoubi Suraki, Ali Asghar Rahmani Hosseinabadi, Adam Slowik, „Improvement of Grey Wolf Optimizer with Adaptive Middle Filter to Adjust Support Vector Machine Parameters to Predict Diabetes Complications”, Neural Computing and Applications, Volume 33, pp. 15205-15228, 2021, doi: 10.1007/s00521-021-06143-y, Impact Factor in 2021: 5.102

[127] Rizk Masoud Rizk-Allah, Adam Slowik, Ashraf Darwish, Aboul Ella Hassanien, „Orthogonal Latin Squares-Based Firefly Optimization Algorithm for Industrial Quadratic Assignment Tasks”, Neural Computing and Applications, Volume 33, pp. 16675-16696, 2021, Impact Factor in 2021: 5.102