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https://www.econstor.eu/handle/10419/206184 EconStor: Metaheuristic algorithm for ship routing and scheduling problems with time window EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. https://www.mathworks.com/matlabcentral/fileexchange/181300-dimension-selection-an-innovative-metaheuristic-strategy?s_tid=FX_rc1_behav Dimension selection: an innovative metaheuristic strategy - File Exchange - MATLAB Central Download and share free MATLAB code, including functions, models, apps, support packages and toolboxes file exchange dimension selection innovative metaheuristic https://www.preprints.org/manuscript/202408.1909 A Comparative Study of Metaheuristic Feature Selection Algorithms for Respiratory Disease... Correct diagnosis and early treatment of respiratory diseases can significantly improve the health status of patients, reduce healthcare expences, and enhance... comparative study feature selection metaheuristic https://www.mdpi.com/2073-4395/13/1/98 Advanced Hybrid Metaheuristic Machine Learning Models Application for Reference Crop... Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field, provides precise reference evapotranspiration (ETo) prediction that... machine learning models for reference advanced hybrid metaheuristic https://openreview.net/forum?id=qhtHsvF5zj Automated Design of Metaheuristic Algorithms: A Survey | OpenReview Metaheuristics have gained great success in academia and practice because their search logic can be applied to any problem with available solution... automated design metaheuristic algorithms survey openreview https://www.inderscience.com/info/inarticle.php?artid=35117 Article: A metaheuristic method for optimising inspection strategies in serial multistage processes... Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,... https://www.sintef.no/en/publications/publication/1146422/ A Hybrid Metaheuristic for a multi-objective Mixed Capacitated General Routing Problem - SINTEF https://www.atlantis-press.com/proceedings/icatam-24/126004738 Solving the Problem of Optimal Reactive Power Dispatch Using Physical-Inspired Metaheuristic... One of the methods for improving the efficiency of power system transmission is the Optimal Reactive Power Dispatch (ORPD). The ORPD technique has been used to... solving the problem reactive power dispatch https://www.sintef.no/en/publications/publication/0198cc44cac4-0685d3f9-7dc3-44fa-a402-bcd6289cb9d6/ A metaheuristic solution method for optimizing vessel fleet size and mix for maintenance operations... https://www.nist.gov/publications/metaheuristic-post-optimization-nist-repository-covering-arrays Metaheuristic Post-Optimization of the NIST Repository of Covering Arrays | NIST of the metaheuristic post optimization nist https://www.preprints.org/manuscript/202310.1945 EHMFFL: Ensemble Heuristic-Metaheuristic Feature Fusion Learning Algorithm for Heart Disease... Heart disease is a global health concern of paramount importance, causing a significant number of fatalities and disabilities. Precise and timely diagnosis of... learning algorithm ensemble heuristic feature https://www.mdpi.com/1996-1073/10/7/883 An Ad-Hoc Initial Solution Heuristic for Metaheuristic Optimization of Energy Market Participation... The deregulation of the electricity sector has culminated in the introduction of competitive markets. In addition, the emergence of new forms of electric... https://www.inderscience.com/info/inarticle.php?artid=68368 Article: A metaheuristic for solving the unsplittable multicommodity flow problem: the maritime... Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science,... flow problem article metaheuristic solving https://www.sintef.no/en/publications/publication/0198cc45ef44-24c3e0f4-f4f9-4084-bf00-f121f9e4e05d/ A metaheuristic solution method for optimizing vessel fleet size and mix for maintenance operations... https://www.preprints.org/manuscript/202507.1863 A Secure and Explainable Federated Intrusion Detection System Using Deep Learning and Metaheuristic... This paper introduces a new AI-based threat detection model optimized for healthcare infrastructures which include IoT-integrated monitoring systems and... intrusion detection system https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2022.928052/full Frontiers | Hybrid metaheuristic machine learning approach for water level prediction: A case study... Dongting Lake is the second-largest freshwater lake in China. An accurate and reliable water level prediction in such a lake system is crucial for water reso... https://www.mdpi.com/2071-1050/15/10/7845 Design of Metaheuristic Optimization with Deep-Learning-Assisted Solar-Operated On-Board Smart... Electric vehicles (EVs) have become popular in reducing the negative impact of ICE automobiles on the environment. EVs have been predicted to be an important... https://www.preprints.org/manuscript/202409.1522 A Three-Phase Novel Angular Perturbation Technique for Metaheuristic-Based School Bus Routing... This article introduces a novel three-phase angular perturbation technique for solving the School Bus Problem (SBP), an NP-hard combinatorial optimization... https://dergipark.org.tr/en/pub/ijpas/article/1382344 Detection of Android Based Applications with Traditional Metaheuristic Algorithms - International... Dec 31, 2023 - International Journal of Pure and Applied Sciences | Volume: 9 Issue: 2 detection android based applications traditional https://www.mdpi.com/2071-1050/14/19/12941 A Metaheuristic-Based Micro-Grid Sizing Model with Integrated Arbitrage-Aware Multi-Day Battery... Rule-based micro-grid dispatch strategies have received significant attention over the last two decades. However, a recent body of literature has conclusively... https://www.mdpi.com/2227-7390/8/7/1092 Settings-Free Hybrid Metaheuristic General Optimization Methods Several population-based metaheuristic optimization algorithms have been proposed in the last decades, none of which are able either to outperform all existing... settings free hybrid metaheuristic general