Academic literature on the topic 'Unconstrained binary quadratic'

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Journal articles on the topic "Unconstrained binary quadratic"

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Verma, Amit, and Mark Lewis. "Goal seeking Quadratic Unconstrained Binary Optimization." Results in Control and Optimization 7 (June 2022): 100125. http://dx.doi.org/10.1016/j.rico.2022.100125.

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Lewis, Mark, John Metcalfe, and Gary Kochenberger. "Robust optimisation of unconstrained binary quadratic problems." International Journal of Operational Research 36, no. 4 (2019): 441. http://dx.doi.org/10.1504/ijor.2019.10025701.

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Lewis, Mark, John Metcalfe, and Gary Kochenberger. "Robust optimisation of unconstrained binary quadratic problems." International Journal of Operational Research 36, no. 4 (2019): 441. http://dx.doi.org/10.1504/ijor.2019.104050.

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Boettcher, S. "Extremal Optimization for Quadratic Unconstrained Binary Problems." Physics Procedia 68 (2015): 16–19. http://dx.doi.org/10.1016/j.phpro.2015.07.102.

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Wang, Yang, Zhipeng Lü, Fred Glover, and Jin-Kao Hao. "Path relinking for unconstrained binary quadratic programming." European Journal of Operational Research 223, no. 3 (2012): 595–604. http://dx.doi.org/10.1016/j.ejor.2012.07.012.

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Kochenberger, Gary, Jin-Kao Hao, Fred Glover, et al. "The unconstrained binary quadratic programming problem: a survey." Journal of Combinatorial Optimization 28, no. 1 (2014): 58–81. http://dx.doi.org/10.1007/s10878-014-9734-0.

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Glover, Fred, and Jin-Kao Hao. "f-Flip strategies for unconstrained binary quadratic programming." Annals of Operations Research 238, no. 1-2 (2015): 651–57. http://dx.doi.org/10.1007/s10479-015-2076-1.

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Rahmeh, Samer, and Adam Neumann. "HUBO & QUBO and Prime Factorization." International Journal of Bioinformatics and Intelligent Computing 3, no. 1 (2024): 45–69. http://dx.doi.org/10.61797/ijbic.v3i1.301.

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This document details the methodology and steps taken to convert Higher Order Unconstrained Binary Optimization (HUBO) models into Quadratic Unconstrained Binary Optimization (QUBO) models. The focus is primarily on prime factorization problems; a critical and computationally intensive task relevant in various domains including cryptography, optimization, and number theory. The conversion from Higher-Order Binary Optimization (HUBO) to Quadratic Unconstrained Binary Optimization (QUBO) models is crucial for harnessing the capabilities of advanced computing methodologies, particularly quantum c
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Merz, Peter, and Kengo Katayama. "Memetic algorithms for the unconstrained binary quadratic programming problem." Biosystems 78, no. 1-3 (2004): 99–118. http://dx.doi.org/10.1016/j.biosystems.2004.08.002.

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Liefooghe, Arnaud, Sébastien Verel, and Jin-Kao Hao. "A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming." Applied Soft Computing 16 (March 2014): 10–19. http://dx.doi.org/10.1016/j.asoc.2013.11.008.

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Dissertations / Theses on the topic "Unconstrained binary quadratic"

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Battikh, Rabih. "La résοlutiοn de prοblème quadratique binaire par des méthοdes d'οptimisatiοn exactes et apprοchées". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMLH20.

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Dans cette thèse, nous avons présenté un nouvel algorithme hybride (HA) pour la résolution du problème (UQP). Cet algorithme est basé sur la combinaison d'un bloc de cinq procédures spéciales et de la méthode du recuit simulé. Nos procédures sont très efficaces et rapides, mais malheureusement, parfois elles sont bloquées par un minimum local. Pour surmonter cet inconvénient, nous les avons combinées avec un algorithme de recuit simulé. Ensuite, nous avons répété ces procédures plusieurs fois pour obtenir la meilleure solution en utilisant notre algorithme hybride.Nous avons remarqué que l'éca
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CIRILLO, GIOVANNI AMEDEO. "Engineering quantum computing technologies: from compact modelling to applications." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2971119.

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Tavares, Gabriel. "New algorithms for Quadratic Unconstrained Binary Optimization (QUBO) with applications in engineering and social sciences." 2008. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051095.

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Gomes, Cláudio Filipe Prata. "Portfolio Optimization in Financial Markets using Quantum Computing: An Experimental Study." Master's thesis, 2021. http://hdl.handle.net/10316/96124.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia<br>A computação quântica está prestes a mudar o mundo tal como o conhecemos. Através da exploração das propriedades da teoria quântica para fins computacionais, é esperada uma redução substancial na quantidade de problemas que hoje são considerados intratáveis. Isto significa que os computadores quânticos têm a capacidade de devolver soluções para alguns problemas de interesse prático para os quais um computador clássico não consegue devolver, pelo menos em tempo útil. Isto é ainda mais revolucio
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Silva, Pedro Miguel Dias da. "Quantum Computing for Optimizing Power Flow in Energy Grids." Master's thesis, 2021. http://hdl.handle.net/10316/98073.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia<br>Quantum Computing is beginning to gather even more attention at a time where efforts are being made into familiarizing younger audiences into not only learning programming on a classical computer, but also on a quantum one.This new paradigm of computation is set to revolutionize several industries as the hardware keeps developing, with the potential to solve problems that a classical computer would consider intangible, as well as giving some specific problems a so sought after speed-up. This i
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Books on the topic "Unconstrained binary quadratic"

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Punnen, Abraham P., ed. The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2.

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Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications. Springer International Publishing AG, 2023.

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Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications. Springer International Publishing AG, 2022.

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Book chapters on the topic "Unconstrained binary quadratic"

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Kochenberger, Gary A., Fred Glover, and Haibo Wang. "Binary Unconstrained Quadratic Optimization Problem." In Handbook of Combinatorial Optimization. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-7997-1_15.

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Punnen, Abraham P. "Introduction to QUBO." In The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2_1.

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Çela, Eranda, and Abraham P. Punnen. "Complexity and Polynomially Solvable Special Cases of QUBO." In The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2_3.

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Punnen, Abraham P., and Renata Sotirov. "Mathematical Programming Models and Exact Algorithms." In The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2_6.

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Letchford, Adam N. "The Boolean Quadric Polytope." In The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2_4.

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Wang, Yang, and Jin-Kao Hao. "Metaheuristic Algorithms." In The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2_9.

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Boros, Endre. "Autarkies and Persistencies for QUBO." In The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2_5.

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Woods, Brad D., Gary Kochenberger, and Abraham P. Punnen. "QUBO Software." In The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2_11.

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Natarajan, Karthik. "The Random QUBO." In The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2_7.

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Punnen, Abraham P. "The Bipartite QUBO." In The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2_10.

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Conference papers on the topic "Unconstrained binary quadratic"

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Iftakher, Ashfaq, and M. M. Faruque Hasan. "Exploring Quantum Optimization for Computer-aided Molecular and Process Design." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.143809.

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Computer-aided Molecular and Process Design (CAMPD) is an equation-oriented multi-scale decision making framework for designing both materials (molecules) and processes for separation, reaction, and reactive separation whenever material choice significantly impacts process performance. The inherent nonlinearity and nonconvexity in CAMPD optimization models, introduced through the property and process models, pose challenges to state-of-the-art solvers. Recently, quantum computing (QC) has shown promise for solving complex optimization problems, especially those involving discrete decisions. Th
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De Souza, Murilo Zangari, and Aurora Trinidad Ramirez Pozo. "Multiobjective Binary ACO for Unconstrained Binary Quadratic Programming." In 2015 Brazilian Conference on Intelligent Systems (BRACIS). IEEE, 2015. http://dx.doi.org/10.1109/bracis.2015.15.

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Baioletti, Marco. "Probabilistic reasoning as quadratic unconstrained binary optimization." In GECCO '22: Genetic and Evolutionary Computation Conference. ACM, 2022. http://dx.doi.org/10.1145/3520304.3534005.

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Lin, Geng. "Solving unconstrained binary quadratic programming using binary particle swarm optimization." In 2013 International Conference of Information Technology and Industrial Engineering. WIT Press, 2013. http://dx.doi.org/10.2495/itie130311.

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Liu Liu, Qiuling Xie, and Chunli Liu. "Sufficient optimal conditions for unconstrained quadratic binary problems." In 12th International Symposium on Operations Research and its Applications in Engineering, Technology and Management (ISORA 2015). Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/cp.2015.0623.

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Alom, Md Zahangir, Brian Van Essen, Adam T. Moody, David Peter Widemann, and Tarek M. Taha. "Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system." In 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7966350.

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Borgulya, Istvan. "A parallel evolutionary algorithm for unconstrained binary quadratic problems." In the 10th annual conference. ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389213.

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Fang, Yan, and Ashwin Sanjay Lele. "Solving Quadratic Unconstrained Binary Optimization with Collaborative Spiking Neural Networks." In 2022 IEEE International Conference on Rebooting Computing (ICRC). IEEE, 2022. http://dx.doi.org/10.1109/icrc57508.2022.00021.

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Gabor, Thomas, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien, and Sebastian Feld. "How to Approximate any Objective Function via Quadratic Unconstrained Binary Optimization." In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE, 2022. http://dx.doi.org/10.1109/saner53432.2022.00149.

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Pauckert, Justin, Matthieu Parizy, and Mayowa Ayodele. "Strategic Solution Combination in Scatter Search for Quadratic Unconstrained Binary Optimization." In 14th International Conference on Evolutionary Computation Theory and Applications. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011547600003332.

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