Výsledky vyhledávání - Physics inspired optimization algorithms

Model Predictive Control Design for Electric Vehicle Based on Improved Physics-Inspired Optimization Algorithms

Autoři: M. S. Alkreem N. H. Abbas

Zdroj: Tikrit Journal of Engineering Sciences, Vol 30, Iss 4 (2023)

Témata: Improved Chaotic Electromagnetic Field Optimization, 0209 industrial biotechnology, Leader-Follower, 0202 electrical engineering, electronic engineering, information engineering, Adaptive Cruise Control System, 02 engineering and technology, Electric Charged Particles Optimization, TA1-2040, Engineering (General). Civil engineering (General), 7. Clean energy, Model Predictive Control

Přístupová URL adresa: https://doaj.org/article/57e95b85c6a8416e95229743eb9494c7

A variety of optimization techniques applied in the context of quantum information theory

Autoři: Mortimer, Luke Bailey

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Institut de Ciències Fotòniques

Thesis Advisors: Acín dal Maschio, Antonio

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: quantum information theory, semidefinite programming, mutually unbiased bases, nonlocality, many-body quantum physics, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Àrees temàtiques de la UPC::Física, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions, 530. 1 - Principis generals de la física

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/695487
https://dx.doi.org/10.5821/dissertation-2117-443521

Unconventional computing platforms and nature-inspired methods for solving hard optimisation problems

Autoři: Kalinin, Kirill Berloff, Natalia

Přispěvatelé: Kalinin, Kirill Berloff, Natalia

Témata: Unconventional Computing, Gain-dissipative systems, Polaritons, Exciton-Polaritons, Nature-inspired optimisation, Physics-inspired algorithms, Ising model, XY model, University of Cambridge, PhD Thesis

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.841349

Physics-Inspired Optimization Algorithms: A Survey

Autoři: Anupam Biswas K. K. Mishra Shailesh Tiwari a další

Zdroj: Journal of Optimization. 2013:1-16

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis souboru: text/xhtml

Přístupová URL adresa: http://downloads.hindawi.com/journals/jopti/2013/438152.pdf
https://core.ac.uk/display/89936126
https://downloads.hindawi.com/journals/jopti/2013/438152.pdf
https://paperity.org/p/198808523/physics-inspired-optimization-algorithms-a-survey
http://downloads.hindawi.com/journals/jopti/2013/438152.pdf
https://www.hindawi.com/journals/jopti/2013/438152/

Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization

Autoři: Jordan, Stephen P. Hu, Siyuan Rozada, Ignacio a další

Zdroj: Proceedings of the National Academy of Sciences of the United States of America, 2021 Oct 01. 118(40), 1-8.

Přístupová URL adresa: https://www.jstor.org/stable/27075932

Physics Inspired Optimization Algorithms

Autoři: George Lindfield John Penny

Zdroj: Introduction to Nature-Inspired Optimization ISBN: 9780128036365

Fick’s Law Algorithm: A physical law-based algorithm for numerical optimization

Autoři: Hashim, Fatma A. Mostafa, Reham R. Hussien, Abdelazim a další

Zdroj: Knowledge-Based Systems. 260

Témata: Metaheuristic, Optimization, Physics-inspired, Exploration and exploitation, Local optima

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-191211

Model Predictive Control Design for Electric Vehicle Based on Improved Physics-Inspired Optimization Algorithms.

Alternate Title: نمذجة وتصميم مسيطر بالطرق المثلى لمنظومة السيطرة على السرعة المكيفة. (Arabic)

Autoři: Alkreem, M. S. Abbas, N. H.

Zdroj: Tikrit Journal of Engineering Sciences; 2023, Vol. 30 Issue 4, p118-126, 9p

Témata: OPTIMIZATION algorithms, ADAPTIVE control systems, ELECTRIC vehicles, PREDICTION models, ELECTROMAGNETIC fields, ELECTRIC automobiles

Nature Inspired Optimization Algorithms Related to Physical Phenomena and Laws of Science: A Survey

Autoři: Tzanetos, Alexandros Dounias, Georgios

Zdroj: International journal on artificial intelligence tools. 26(6)

Témata: inspired by physics and chemistry, laws of science, Nature inspired algorithms, physical phenomena, universe based, Evolutionary algorithms, Genetic algorithms, Industrial research, Surveys, Optimization algorithms, Optimization problems, Problem areas, Optimization

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-63840

Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm.

Autoři: Abedinpourshotorban, Hosein Mariyam Shamsuddin, Siti Beheshti, Zahra a další

Zdroj: Swarm & Evolutionary Computation. Feb2016, Vol. 26, p8-22. 15p.

Témata: Electromagnetic fields, Particle swarm optimization, Metaheuristic algorithms, Electromagnets, Polarity (Physics), Golden ratio

Physics Inspired Optimization Algorithms Introducing New Hybrid Gravitational Differential Evolution and Gravitational Search Algorithm with mutation

Autoři: Rajdeep Chatterjee

Magnetic-inspired optimization algorithms: Operators and structures.

Autoři: Tayarani-N., M.-H. Akbarzadeh-T., M.-R.

Zdroj: Swarm & Evolutionary Computation. Dec2014, Vol. 19, p82-101. 20p.

Témata: Operator theory, Algorithms, Magnetic fields, Mathematical optimization, Scattering (Physics), Magnetic particles

Direct comparison of stochastic driven nonlinear dynamical systems for combinatorial optimization

Autoři: Junpeng Hou Amin Barzegar Helmut G. Katzgraber

Zdroj: Physical Review E. 112

Témata: Quantum Physics, Optimization and Control (math.OC), Optimization and Control, FOS: Mathematics, FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Disordered Systems and Neural Networks, Quantum Physics (quant-ph)

Přístupová URL adresa: http://arxiv.org/abs/2503.15427

Wildebeest herd optimization: A new global optimization algorithm inspired by wildebeest herding behaviour.

Autoři: Amali, D. Geraldine Bessie Dinakaran, M.

Zdroj: Journal of Intelligent & Fuzzy Systems. 2019, Vol. 37 Issue 6, p8063-8076. 14p.

Témata: *MATHEMATICAL optimization, *BEES algorithm, *SEARCH algorithms, GLOBAL optimization, PARTICLE swarm optimization, METAHEURISTIC algorithms, ANIMAL herds

Interpretable Artificial Intelligence for Analysing Changes in Gases in the Uterine Environment of Cows According to Physiological Structures in the Ovary.

Autoři: Risvanli, Ali Tanyeri, Burak Yildirim, Güngör a další

Zdroj: Veterinary Medicine & Science. Mar2025, Vol. 11 Issue 2, p1-11. 11p.

Témata: Corpus luteum, Sexual cycle, Optimization algorithms, Ovarian follicle, Artificial intelligence

Application of some artificial intelligence optimization methods to determine the freshness of eggs.

Autoři: ŞAHİN, Hasan Alp ÖNDER, Hasan

Zdroj: Turkish Journal of Veterinary & Animal Sciences. 2024, Vol. 48 Issue 3, p156-164. 9p.

Témata: Artificial intelligence, Digital image processing, Artificial neural networks, Object recognition (Computer vision), Particle swarm optimization, Image compression

Algorithmic, probabilistic, and physics-inspired methods for cuts and shortest paths in graphs

Autoři: Mezei, Balázs Ferenc

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.855363

METHODS AND APPARATUS FOR DISCRIMINATIVE SEMANTIC TRANSFER AND PHYSICS-INSPIRED OPTIMIZATION OF FEATURES IN DEEP LEARNING

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Autoři: Ali Mohamed Diego Oliva Ponnuthurai Nagaratnam Suganthan

Resource Type: eBook.

Témata: Mathematical optimization, Nature-inspired algorithms

Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General)

A multi-learning-based artificial electric field optimization algorithm with two mutations and 2D histogram for multi-level image segmentation.

Autoři: Chauhan, Dikshit¹ (AUTHOR) dikshitchauhan608@gmail.com

Zdroj: Applied Soft Computing. Jan2026:Part D, Vol. 186, pN.PAG-N.PAG. 1p.