Firefly algorithm XS Yang, A Slowik Swarm intelligence algorithms, 163-174, 2020 | 840 | 2020 |
Evolutionary algorithms and their applications to engineering problems A Slowik, H Kwasnicka Neural Computing and Applications 32, 12363-12379, 2020 | 564 | 2020 |
Nature inspired methods and their industry applications—Swarm intelligence algorithms A Slowik, H Kwasnicka IEEE Transactions on Industrial Informatics 14 (3), 1004-1015, 2017 | 255 | 2017 |
MOSOA: A new multi-objective seagull optimization algorithm G Dhiman, KK Singh, M Soni, A Nagar, M Dehghani, A Slowik, A Kaur, ... Expert Systems with Applications 167, 114150, 2021 | 216 | 2021 |
Training of artificial neural networks using differential evolution algorithm A Slowik, M Bialko 2008 conference on human system interactions, 60-65, 2008 | 169 | 2008 |
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification Y Xue, H Zhu, J Liang, A Słowik Knowledge-Based Systems 227, 107218, 2021 | 156 | 2021 |
EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization G Dhiman, KK Singh, A Slowik, V Chang, AR Yildiz, A Kaur, M Garg International Journal of Machine Learning and Cybernetics 12, 571-596, 2021 | 122 | 2021 |
A self-adaptive mutation neural architecture search algorithm based on blocks Y Xue, Y Wang, J Liang, A Slowik IEEE Computational Intelligence Magazine 16 (3), 67-78, 2021 | 120 | 2021 |
Artificial intelligence technique for gene expression by tumor RNA-Seq data: a novel optimized deep learning approach NEM Khalifa, MHN Taha, DE Ali, A Slowik, AE Hassanien IEEE Access 8, 22874-22883, 2020 | 118 | 2020 |
Application of an adaptive differential evolution algorithm with multiple trial vectors to artificial neural network training A Slowik IEEE Transactions on Industrial Electronics 58 (8), 3160-3167, 2010 | 80 | 2010 |
Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing P Pirozmand, AAR Hosseinabadi, M Farrokhzad, M Sadeghilalimi, ... Neural computing and applications 33, 13075-13088, 2021 | 77 | 2021 |
Swarm intelligence algorithms (two volume set) A Slowik CRC press, 2021 | 74 | 2021 |
A novel hybrid hypervolume indicator and reference vector adaptation strategies based evolutionary algorithm for many-objective optimization G Dhiman, M Soni, HM Pandey, A Slowik, H Kaur Engineering with Computers 37, 3017-3035, 2021 | 67 | 2021 |
Use of machine learning methods for predicting amount of bioethanol obtained from lignocellulosic biomass with the use of ionic liquids for pretreatment M Smuga-Kogut, T Kogut, R Markiewicz, A Słowik Energies 14 (1), 243, 2021 | 59 | 2021 |
Modified african buffalo optimization for strategic integration of battery energy storage in distribution networks P Singh, NK Meena, A Slowik, SK Bishnoi IEEE Access 8, 14289-14301, 2020 | 57 | 2020 |
Multi-objective orthogonal opposition-based crow search algorithm for large-scale multi-objective optimization RM Rizk-Allah, AE Hassanien, A Slowik Neural computing and applications 32 (17), 13715-13746, 2020 | 56 | 2020 |
Metaheuristic Optimization Through Deep Learning Classification of COVID-19 in Chest X-Ray Images. NA Samee, ESM El-Kenawy, G Atteia, MM Jamjoom, A Ibrahim, ... Computers, Materials & Continua 73 (2), 2022 | 55 | 2022 |
Energy consumption prediction of appliances using machine learning and multi-objective binary grey wolf optimization for feature selection D Moldovan, A Slowik Applied Soft Computing 111, 107745, 2021 | 51 | 2021 |
Multi-objective optimization of surface grinding process with the use of evolutionary algorithm with remembered Pareto set A Slowik, J Slowik The International Journal of Advanced Manufacturing Technology 37, 657-669, 2008 | 47 | 2008 |
Neural architecture search based on a multi-objective evolutionary algorithm with probability stack Y Xue, C Chen, A Słowik IEEE Transactions on Evolutionary Computation 27 (4), 778-786, 2023 | 44 | 2023 |