Botnet Attack Detection Using Local Global Best Bat Algorithm for Industrial Internet of Things by Abdullah Alharbi, Wael Alosaimi, Hashem Alyami, Hafiz Tayyab Rauf, Robertas Damaševičius

“…Several methods have been developed for detecting botnet attacks, such as Swarm Intelligence (SI) and Evolutionary Computing (EC)-based algorithms. In this study, we propose a Local-Global best Bat Algorithm for Neural Networks (LGBA-NN) to select both feature subsets and hyperparameters for efficient detection of botnet attacks, inferred from 9 commercial IoT devices infected by two botnets: Gafgyt and Mirai. …”
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Multi-performative façade systems: The case of real-time adaptive BIPV shading systems to enhance energy generation potential and visual comfort by Nimish Biloria, Nimish Biloria, Mohammed Makki, Nastaran Abdollahzadeh

“…The conducted simulation considers the responsive building integrated photo voltaic system as a double-skin façade system and uses multi-objective evolutionary computing principles to decipher its integrability potential. …”
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Effects of Atom Search-Optimized Thornthwaite Potential Evapotranspiration on Root and Shoot Systems in Controlled <i>Carica papaya</i> Cultivation by Ronnie Concepcion, Jonah Jahara Baun, Adrian Genevie Janairo, Argel Bandala

“…For the aim of promoting the papaya Sinta F1 cultivar, the study optimized the standard Thornthwaite PET model by integrating three advanced physics-based metaheuristics and evolutionary computing, namely atom search (ASO), differential evolution (DE), and multiverse (MVO) optimizers. …”
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Surveillance task optimized by Evolutionary shared Tabu Inverted Ant Cellular Automata Model for swarm robotics navigation control by Hamilton J.M. Lopes, Danielli A. Lima

“…In this article, we proposed a new model that combines different techniques of natural and evolutionary computing: we mainly focus on ideas and concepts about cellular automata, social pedestrians behavior in evacuation, genetic algorithms, inverted pheromone from ant colonies and Tabu search, as hybrid search mechanism. …”
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Multi-Objective Optimization of Electric Arc Furnace Using the Non-Dominated Sorting Genetic Algorithm II by Matheus F. Torquato, German Martinez-Ayuso, Ashraf A. Fahmy, Johann Sienz

“…Combining classical technologies with modern intelligent algorithms, this paper introduces a new approach for the optimisation and modelling of the EAF-based steel-making process based on a multi-objective optimisation using evolutionary computing and machine learning. Using a large amount of real-world historical data containing 6423 consecutive EAF heats collected from a melt shop in an established steel plant this work not only creates machine learning models for both EAF and ladle furnaces but also simultaneously minimises the total scrap cost and EAF energy consumption per ton of scrap. …”
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Fuzzy analytical hierarchy process based risk assessment for malware detection in android mobile system by Juliza, Mohamad Arif

“…The three optimization techniques such as Particle Swarm Optimisation (PSO), Information Gain and Evolutionary Computational are applied to select the best permission features. …”
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Utilizing the Heterogeneity of Clinical Data for Model Refinement and Rule Discovery Through the Application of Genetic Algorithms to Calibrate a High-Dimensional Agent-Based Model... by Chase Cockrell, Gary An

“…This results in a model structure that more closely resembles (at a superficial level) the structure of data generated by a standard differential gene expression experimental study.Conclusion: We present an HPC-enabled machine learning/evolutionary computing approach to calibrate a complex ABM to complex clinical data while preserving biological heterogeneity. …”
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Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

“…There are researches related to the reinforcement issues and the researchers showed that AI can be the solution. Evolutionary Computing (EC) is chosen as one of the AI method for its stochastic features and it shows promising results in many fields. …”
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Performance and Robustness of Regional Image Segmentation Driven by Selected Evolutionary and Genetic Algorithms: Study on MR Articular Cartilage Images by Jan Kubicek, Alice Varysova, Martin Cerny, Kristyna Hancarova, David Oczka, Martin Augustynek, Marek Penhaker, Ondrej Prokop, Radomir Scurek

“…In this context, regional segmentation strategies, driven by either genetic algorithms or selected evolutionary computing strategies, have the potential to overcome these traditional methods such as Otsu thresholding or K-means in the context of their performance. …”
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