Výsledky vyhľadávania - "Physics inspired optimization algorithms"

Physics-Inspired Optimization Algorithms : A Survey Autor Biswas, Anupam, Mishra, K. K., Tiwari, Shailesh, Misra, A. K.

“…Natural phenomenon can be used to solve complex optimization problems with its excellent facts, functions, and phenomenon. In this paper, a survey on…”
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Model Predictive Control Design for Electric Vehicle Based on Improved Physics-Inspired Optimization Algorithms Autor Alkreem, M. S., Abbas, N. H.

“…This paper introduces the mathematical model of the leader-follower electric vehicle (EV). Consequently, the system was analyzed to obtain stability and…”
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Archimedes Optimizer: Theory, Analysis, Improvements, and Applications Autor Dhal, Krishna Gopal, Ray, Swarnajit, Rai, Rebika, Das, Arunita

“…The intricacy of the real-world numerical optimization tribulations has full-fledged and diversely amplified necessitating proficient yet ingenious…”
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Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers Autor Khan, Asad, Huerta, E.A., Das, Arnav

“…The spin distribution of binary black hole mergers contains key information concerning the formation channels of these objects, and the astrophysical…”
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XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications Autor Ahmadieh Khanesar, Mojtaba, Bansal, Ridhi, Martínez-Arellano, Giovanna, Branson, David T.

“…Industry 4.0 is the fourth generation of industry which will theoretically revolutionize manufacturing methods through the integration of machine learning and…”
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Direct comparison of stochastic driven nonlinear dynamical systems for combinatorial optimization Autor Hou, Junpeng, Barzegar, Amin, Katzgraber, Helmut G

“… Here, we examine and benchmark several physics-inspired optimization algorithms, including coherent Ising machines, gain-dissipative algorithms, simulated bifurcation machines, and Hopfield neural…”
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Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers Autor Khan, Asad, Huerta, E A, Das, Arnav

“…The spin distribution of binary black hole mergers contains key information concerning the formation channels of these objects, and the astrophysical…”
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Conformal Symplectic Optimization for Stable Reinforcement Learning Autor Lyu, Yao, Zhang, Xiangteng, Eben Li, Shengbo, Duan, Jingliang, Tao, Letian, Xu, Qing, He, Lei, Li, Keqiang

“… To tackle this challenge, we propose a physics-inspired optimization algorithm called relativistic adaptive gradient descent (RAD…”
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A multi-learning-based artificial electric field optimization algorithm with two mutations and 2D histogram for multi-level image segmentation Autor Chauhan, Dikshit

“…, and Kapur’s become computationally intensive as the number of thresholds increases. To address this challenge, we propose a physics-inspired optimization algorithm…”
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Optimizing integrated energy systems: A two-layer framework for cost-effective and sustainable solutions Autor Lv, Yan, Liu, Sheng, Li, Li, Sha, Licheng, Luo, Yadi

“…) by combining an advanced energy hub model with a physics-inspired optimization algorithm. The energy hub model captures partial load characteristics and complex…”
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Emotion-aware brain storm optimization Autor Ntakolia, Charis, Koutsiou, Dimitra-Christina C., Iakovidis, Dimitris K.

“… Electromagnetism-like mechanism for global optimization (EMO) is a physics-inspired optimization algorithm…”
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On the Strongest Irreducible Testors and Their Computation Using a Physics-Inspired Algorithm Autor Lazo-Cortés, Manuel S., Rodríguez-Molina, Alejandro, Roblero-Aguilar, Sandra S., Velázquez-Mancilla, Rodolfo

“… To the best of our knowledge, this is the first application of a physics-inspired optimization algorithm for computing testors…”
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XOR Binary Gravitational Search Algorithm Autor Khanesar, Mojtaba Ahmadieh, Branson, David

“…In this paper, an XOR binary gravitational search algorithm is introduced. Gravitational search algorithms, a physics inspired optimization algorithm, have previously been successfully applied to different real-valued optimization problems…”
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Conformal Symplectic Optimization for Stable Reinforcement Learning Autor Lyu, Yao, Zhang, Xiangteng, Shengbo Eben Li, Duan, Jingliang, Tao, Letian, Xu, Qing, He, Lei, Li, Keqiang

“… To tackle this challenge, we propose a physics-inspired optimization algorithm called relativistic adaptive gradient descent (RAD…”
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H-V Shadow Detection Based on Electromagnetism-Like Optimization Autor Koutsiou, Dimitra-Christina C., Savelonas, Michalis, Iakovidis, Dimitris K.

“… In this paper a novel shadow detection method is proposed, exploiting the perceptual color representation of the HSV color space and a physics-inspired optimization algorithm for image segmentation…”
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A Study of Scalarisation Techniques for Multi-Objective QUBO Solving Autor Ayodele, Mayowa, Allmendinger, Richard, López-Ibáñez, Manuel, Parizy, Matthieu

“… Physics-inspired optimisation algorithms have been proposed for deriving optimal or sub-optimal solutions to QUBOs…”
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