A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases. [PDF]
J Supercomput, 2023 Ay Ş, Ekinci E, Garip Z.
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A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems
Systems Engineering, EarlyView.ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
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Power management of hybrid fuel cell fixed wing UAVs using a fuzzy reinforcement learning system optimized with meta-heuristic methods. [PDF]
Sci RepRostami M, Farajollahi A, Habibi P.
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Multi‑strategy Equilibrium Optimizer: An improved meta-heuristic tested on numerical optimization and engineering problems. [PDF]
PLoS One, 2022 Li Y, Liang X, Liu J, Zhou H.
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Basketball team optimization algorithm (BTOA): a novel sport-inspired meta-heuristic optimizer for engineering applications. [PDF]
Sci RepChen Y +5 more
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Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique. [PDF]
Sci Rep, 2023 Lai V +5 more
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
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Intelligent accounting optimization method based on meta-heuristic algorithm and CNN. [PDF]
PeerJ Comput SciDong Y.
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Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review. [PDF]
Neural Process Lett, 2022 Kaveh M, Mesgari MS.
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Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong +4 more
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