Fixed time convergence approach for multiplayer iterated dilemmas with continuous action by Syed Muhammad Amrr, Mohamed Zaery, S.M. Suhail Hussain, Mohammad A. Abido

“…Additionally, two discount rates are incorporated in the strategy dynamics to reflect the imprecision in players' learning from strategic differences. The proposed algorithm ensures a fixed-time convergence of consensus between the player strategies. …”
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An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability by Aldana Alexandra Cepeda Dean, Luisa Berná, Carlos Robello, Carlos Andrés Buscaglia, Virginia Balouz

“…Validation against a rigorously annotated dataset demonstrated high accuracy, and allowed us to reclassify misanotated sequences and, more crucially, to accurately identify previously unrecognized canonical MASPs and MASP chimeras. This algorithm was then used to explore the MASP repertoire in the genomes of 13 parasite strains from different evolutionary lineages, revealing patterns of diversity. …”
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A Novel Black Widow Optimization Algorithm Based on Lagrange Interpolation Operator for ResNet18 by Peiyang Wei, Can Hu, Jingyi Hu, Zhibin Li, Wen Qin, Jianhong Gan, Tinghui Chen, Hongping Shu, Mingsheng Shang

“…In an attempt to surmount this challenge, evolutionary computation algorithms can automatically adjust the hyper-parameter learning rate to improve training efficiency and model performance. …”
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A two phase differential evolution algorithm with perturbation and covariance matrix for PEMFC parameter estimation challenges by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe

“…The idea here is to move the evolutionary process to more promising areas of the search space on different occasions. …”
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A Hybrid Particle Swarm Optimization-Tuning Algorithm for the Prediction of Nanoparticle Morphology from Microscopic Images by Abhishek Singh, Thaseem Thajudeen

“…Various 3-dimensional properties including hydrodynamic diameter and mobility diameter of the retrieved structures are then compared with the properties of the aggregate used to form the candidate projection image, to test the suitability of the algorithm. Results show that the hybrid algorithm can closely predict the 3-dimensional structures from the projection images with less than 10% difference in the predicted 3-dimensional properties including mobility diameter and radius of gyration.…”
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Enhancing power efficiency in BLDC motor drives for drones using multiview learning with hybrid optimization algorithms by Anushree Gopalakrishnan, Rani Thottungal

“…Fitness improvement rates per iteration for Eel Foraging (0.05) and Gooseneck Barnacle Optimization (0.04) demonstrate their superior efficiency over standard evolutionary algorithms (0.02–0.10). Analyzing torque speed with control further highlights the effectiveness of Eel Foraging and Gooseneck Barnacle Optimization through Multi-View Learning. …”
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Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies by Lixin Mu, Wenhui Liu, Haocheng Wang, Yu Zhang

“…In addition, a differential mutation strategy is incorporated, which uses difference information between individuals to guide the evolutionary process, further improving diversity and enhancing the ability to escape local optima. …”
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A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation by Xi Chen, Yu Wan, Jingtao Qi, Zipeng Zhao, Yirun Ruan, Jun Tang

“…In the experiments, BCIA competes fairly with the mainstream multi-objective evolutionary algorithms (MOEAs), multi-objective immune algorithms (MOIAs) and the recently proposed multi-UAV mission planning algorithms. …”
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Fault Diagnosis of High-Power Tractor Engine Based on Competitive Multiswarm Cooperative Particle Swarm Optimizer Algorithm by Maohua Xiao, Weichen Wang, Kaixin Wang, Wei Zhang, Hengtong Zhang

“…PSO is an iterative optimization evolutionary algorithm, which can iterate through different particles to find the optimal solution. …”
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A Power Control Algorithm for V2V Communication Networks Based on Dynamic Multi-Objective Optimization by Mengyu Ma, Zihao Gu, Chao Wang, Zuxing Li, Jianyao Hu, Fuqiang Liu

“…We propose a prediction-based dynamic multi-objective optimization evolutionary algorithm (DMOEA) that facilitates the evolution of the solution population by predicting the centroid of the power allocation decision set in a new environment, so that transmission decisions can be made to adapt to the highly dynamic environment. …”
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Subject based feature selection for hybrid brain computer interface using genetic algorithm and support vector machine by Nida Mateen, Mehreen Naeem, Muhammad Jawad Khan, Talha Yousaf, Ahsan Ali, Wael A. Altabey, Mohammad Noori, Sallam A Kouritem

“…These results highlight the importance of personalized feature selection in hybrid BCIs and demonstrate the viability of evolutionary algorithms for real-time, low-latency brain–machine applications.…”
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Combining and congruence evaluation of phylogenetic signals from different genes based on geometric approach by V. M. Efimov, V. Yu. Kovaleva, Yu. N. Litvinov

“…Several variability directions reflecting evolutionary events of different scale are visualized in a joint genetic space. …”
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Computer analysis shows differences between mitochondrial miRNAs and other miRNAs by P. S. Vorozheykin, I. I. Titov

“…The identified differences between mitomiRs and other miRNAs may help uncover the mode of miRNA delivery into mitochondria, indicate the evolutionary conservation and importance of mitomiRs in the regulation of mitochondrial function and metabolism, and generally show that mitomiRs are not randomly encountered miRNAs. …”
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Vehicle Painting Robot Path Planning Using Hierarchical Optimization by Yuya Nagai, Hiromitsu Nakamura, Narito Shinmachi, Yuta Higashizono, Satoshi Ono

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Classification of Wetlands in the Liaohe Estuary Based on MRMR-RF-CV Feature Preference of Multisource Remote Sensing Images by Lina Ke, Shilin Zhang, Yao Lu, Nan Lei, Changkun Yin, Qin Tan, Lei Wang, Daqi Liu, Quanming Wang

“…Understanding the distribution and evolutionary patterns of complex wetland types is essential for advancing wetland conservation, exploring blue carbon potentials, and supporting national carbon neutrality goals. …”
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Global progress in competitive co-evolution: a systematic comparison of alternative methods by Stefano Nolfi, Paolo Pagliuca

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Effective NSGA-II Algorithm for a Limited AGV Scheduling Problem in Matrix Manufacturing Workshops with Undirected Material Flow by Xuewu Wang, Jianing Zhang, Yi Hua, Rui Yu

“…In NSGA-IIDPC, a single population is divided into a common population and an elite population, and they adopt different evolutionary strategies during the evolution process. …”
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A quasi oppositional forensic based investigation algorithm for optimizing distributed generation placement and sizing in power distribution systems by Binaya Kumar Malika, Vivekananda Pattanaik, Subhasis Panda, Binod Kumar Sahu, Pravat Kumar Rout, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

“…This manuscript addresses these issues by proposing a novel quasi-oppositional forensic-based investigation (QOFBI) algorithm, an evolutionary meta-optimization technique designed to optimize the location and sizing of DGs under various operating conditions, while adhering to system constraints. …”
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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…This study introduces GA-Attention-Fuzzy-Stock-Net, a novel hybrid architecture that integrates genetic algorithms, attention mechanisms, and neuro-fuzzy systems for stock market price prediction. …”
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A comparative study of different kinematic wake models within metaheuristics for efficient wind farm layout optimization by Antonio J. Romero-Barrera, David Casillas-Pérez, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Alvaro Paricio-Garcia, Miguel A. Lopez-Carmona, Juan Blanco-Sancho, Sujan Ghimire, Ravinesh C. Deo, Antonio J. Caamaño, Sancho Salcedo-Sanz

“…Results show 10-15% efficiency improvements compared to random population initializations, with larger terrains favoring ensemble-based optimization, while denser layouts benefit from evolutionary approaches. Variations in terrain roughness and elevation lead to the optimization process of wind farms, albeit moderately, with energy production differences of 0.1-0.6%.…”
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