Relevant bibliographies by topics / Continuous Global Optimization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Continuous Global Optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 April 2022

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Journal articles on the topic "Continuous Global Optimization"

1

Hirsch, M. J., C. N. Meneses, P. M. Pardalos, and M. G. C. Resende. "Global optimization by continuous grasp." Optimization Letters 1, no. 2 (2006): 201–12. http://dx.doi.org/10.1007/s11590-006-0021-6.

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Ketfi-cherif, Amine, and Abdelkader Ziadi. "Global descent method for constrained continuous global optimization." Applied Mathematics and Computation 244 (October 2014): 209–21. http://dx.doi.org/10.1016/j.amc.2014.06.089.

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Kolev, Kalin, Maria Klodt, Thomas Brox, and Daniel Cremers. "Continuous Global Optimization in Multiview 3D Reconstruction." International Journal of Computer Vision 84, no. 1 (2009): 80–96. http://dx.doi.org/10.1007/s11263-009-0233-1.

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Li, Zhixi, Vincent Tam, and Lawrence K. Yeung. "An Adaptive Multi-Population Optimization Algorithm for Global Continuous Optimization." IEEE Access 9 (2021): 19960–89. http://dx.doi.org/10.1109/access.2021.3054636.

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Ji, Mingjun, and Jacek Klinowski. "Convergence of taboo search in continuous global optimization." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 462, no. 2071 (2006): 2077–84. http://dx.doi.org/10.1098/rspa.2006.1678.

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While taboo search (TS), a method of global optimization, has successfully solved many optimization problems, little is known about its convergence properties, especially for continuous optimization tasks. We consider the global convergence of the original TS for solving continuous optimization problems, and give a condition which guarantees the convergence of the objective value sequence of the method. We also prove that the minimum objective value sequence converges to the vicinity of the global optimal value with probability 1.
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Zabotin,, Vladislav I., and Pavel A. Chernyshevskij. "Extension of Strongins Global Optimization Algorithm to a Function Continuous on a Compact Interval." Computer Research and Modeling 11, no. 6 (2019): 1111–19. http://dx.doi.org/10.20537/2076-7633-2019-11-6-1111-1119.

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Zamora, Juan M., and Ignacio E. Grossmann. "Continuous global optimization of structured process systems models." Computers & Chemical Engineering 22, no. 12 (1998): 1749–70. http://dx.doi.org/10.1016/s0098-1354(98)00244-0.

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Gaviano, M., D. Lera, and A. M. Steri. "A local search method for continuous global optimization." Journal of Global Optimization 48, no. 1 (2010): 73–85. http://dx.doi.org/10.1007/s10898-009-9519-7.

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Vinkó, Tamás, and Kitti Gelle. "Basin Hopping Networks of continuous global optimization problems." Central European Journal of Operations Research 25, no. 4 (2017): 985–1006. http://dx.doi.org/10.1007/s10100-017-0480-0.

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Yang, Yao Wen, Jian Feng Xu, and Chee Kiong Soh. "An evolutionary programming algorithm for continuous global optimization." European Journal of Operational Research 168, no. 2 (2006): 354–69. http://dx.doi.org/10.1016/j.ejor.2004.05.007.

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Dissertations / Theses on the topic "Continuous Global Optimization"

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Ahmed, Abdel-Rahman Hedar A. "Studies on metaheuristics continuous global optimization problems." 京都大学 (Kyoto University), 2004. http://hdl.handle.net/2433/145313.

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Hirsch, Michael J. "Grasp-based heuristics for continuous global optimization problems." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0017140.

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Silva, Victor Billy da. "Otimização volumétrica de gemas de cor utilizadas para lapidação." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/90428.

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O Problema do Lapidário tem como objetivo encontrar o modelo de lapidação que resulte no maior aproveitamento volumétrico para uma dada gema bruta. Nesta dissertação apresentamos um Algoritmo Genético com variáveis de valores reais, e um GRASP Contínuo como heurísticas para resolução deste problema. Ambos os algoritmos maximizam o fator de escala do modelo de lapidação, sobre todas as posições de centro e ângulos de giro que o modelo pode assumir, buscando encontrar o modelo de maior volume inscrito no interior da gema, representada virtualmente por uma malha triangular. Propomos também um alg
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Andrade, Lisieux Marie Marinho dos Santos. "Novas Abordagens Sequencial e Paralela da meta-heurística C-GRASP Aplicadas à Otimização Global Contínua." Universidade Federal da Paraí­ba, 2013. http://tede.biblioteca.ufpb.br:8080/handle/tede/6095.

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Made available in DSpace on 2015-05-14T12:36:40Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2336902 bytes, checksum: 41580878008a0f84da693637a48ceb33 (MD5) Previous issue date: 2013-08-08<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The present work deals with the Continuous Global Optimization Problem, in its minimization form, by testing two approaches for the Continuous Greedy Randomized Adaptive Search Procedure (C-GRASP). The development of the first method - sequential and hybrid - comes from the deficiency of current approaches to provide a good neighborhood sp
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Vasil, Timothy J. (Timothy James). "Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66044.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Global Operations Program at MIT, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 197-199).<br>Developed during our recent six-month engagement at Dell-a leading computer manufacturer and services provider with one of the world's leading supply chains--we discuss a network flow-based mixed-integer linear program (MILP) model to id
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Jorquera, Tom. "An adaptive multi-agent system for self-organizing continuous optimization." Toulouse 3, 2013. http://thesesups.ups-tlse.fr/2139/.

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Cette thèse présente une nouvelle approche pour la distribution de processus d'optimisation continue dans un réseau d'agents coopératifs. Dans le but de résoudre de tels problèmes, le domaine de l'optimisation multidisciplinaire a été proposé. Les méthodes d'optimisation multidisciplinaire proposent de distribuer le processus d'optimisation, généralement en reformulant le problème original d'une manière qui réduit les interconnexions entre les disciplines. Cependant, ces méthodes présentent des désavantages en ce qui concerne la difficulté de les appliquer correctement, ainsi que leur manque d
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Marzat, Julien. "Diagnostic des systèmes aéronautiques et réglage automatique pour la comparaison de méthodes." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00647333.

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Les travaux présentés dans ce mémoire contribuent à la définition de méthodes pour la détection et le diagnostic de défauts affectant les systèmes aéronautiques. Un système représentatif sert de support d'étude, constitué du modèle non linéaire à six degrés de liberté d'un missile intercepteur, de ses capteurs et actionneurs ainsi que d'une boucle de guidage-pilotage. La première partie est consacrée au développement de deux méthodes de diagnostic exploitant l'information de commande en boucle fermée et les caractéristiques des modèles aéronautiques. La première méthode utilise les objectifs d
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Belkhir, Nacim. "Per Instance Algorithm Configuration for Continuous Black Box Optimization." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS455/document.

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Cette thèse porte sur la configurationAutomatisée des algorithmes qui vise à trouver le meilleur paramétrage à un problème donné ou une catégorie deproblèmes.Le problème de configuration de l'algorithme revient doncà un problème de métaFoptimisation dans l'espace desparamètres, dont le métaFobjectif est la mesure deperformance de l’algorithme donné avec une configuration de paramètres donnée.Des approches plus récentes reposent sur une description des problèmes et ont pour but d’apprendre la relationentre l’espace des caractéristiques des problèmes etl’espace des configurations de l’algorithme
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Ait, Elhara Ouassim. "Stochastic Black-Box Optimization and Benchmarking in Large Dimensions." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS211/document.

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Etant donné le coût élevé qui accompagne, en général, la résolution de problème en grandes dimensions, notamment quand il s'agit de problèmes réels; le recours à des fonctions dite benchmarks et une approche communément utilisée pour l'évaluation d'algorithmes avec un coût minime. Il est alors question de savoir identifier les formes par lesquelles ces problèmes se présentent pour pouvoir les reproduire dans ces benchmarks. Une question dont la réponse est difficile vu la variété de ces problèmes, leur complexité, et la difficulté de tous les décrire pertinemment. L'idée est alors d'examiner l
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Li, Bo. "Supply Chain Inventory Management with Multiple Types of Customers: Motivated by Chinese Pharmaceutical Supply Chains among Others." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1371136834.

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Books on the topic "Continuous Global Optimization"

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Kearfott, R. Baker. Rigorous global search: Continuous problems. Kluwer Academic Publishers, 1996.

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Pintér, J. Global optimization in action: Continuous and Lipschitz optimization--algorithms, implementations, and applications. Kluwer Academic Publishers, 1996.

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Tawarmalani, Mohit, and Nikolaos V. Sahinidis. Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3532-1.

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V, Sahinidis Nikolaos, ed. Convexification and global optimization in continuous and mixed-integer nonlinear programming: Theory, algorithms, software, and applications. Kluwer Academic Publishers, 2002.

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Tawarmalani, Mohit. Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications. Springer US, 2002.

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Aldo, Frediani, and SpringerLink (Online service), eds. Variational Analysis and Aerospace Engineering: Mathematical Challenges for Aerospace Design: Contributions from a Workshop held at the School of Mathematics in Erice, Italy. Springer US, 2012.

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Kearfott, R. Baker. Rigorous Global Search: Continuous Problems. Springer, 2010.

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Pintér, János D. Global Optimization in Action: Continuous and Lipschitz Optimization: Algorithms, Implementations and Applications (Nonconvex Optimization and Its Applications). Springer, 1995.

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Tawarmalani, M., and Nikolaos V. Sahinidis. Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications (Nonconvex Optimization and Its Applications). Springer, 2002.

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Van Dyk, Jacob. The Modern Technology of Radiation Oncology, Vol 4. Medical Physics Publishing, 2020. http://dx.doi.org/10.54947/9781951134020.

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High praise continues to come in for the 4th volume of Jake Van Dyk's The Modern Technology of Radiation Oncology. From Peter Metcalfe in Physical and Engineering Sciences in Medicine… "Thank goodness medical physics has Jacob Van Dyk. Like Tiger Woods and Phil Mickelson in golf, his textbooks continue to make major comebacks. He has managed to assemble the most talented among us to sustain the up-to-date knowledge that is essential to our profession. Reference knowledge from this textbook will help ensure the medical physics profession is at the cutting edge of cancer research and clinical tr
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Book chapters on the topic "Continuous Global Optimization"

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Horst, Reiner, and Hoang Tuy. "Lipschitz and Continuous Optimization." In Global Optimization. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-02947-3_11.

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Horst, Reiner, and Hoang Tuy. "Lipschitz and Continuous Optimization." In Global Optimization. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03199-5_11.

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Horst, Reiner, and Hoang Tuy. "Lipschitz and Continuous Optimization." In Global Optimization. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-662-02598-7_11.

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Evtushenko, Yu G., and M. A. Potapov. "Deterministic Global Optimization." In Algorithms for Continuous Optimization. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-009-0369-2_17.

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Kearfott, R. Baker. "Optimization." In Rigorous Global Search: Continuous Problems. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2495-0_5.

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Protopopescu, V., and J. Barhen. "Quantum Algorithm for Continuous Global Optimization." In Applied Optimization. Springer US, 2005. http://dx.doi.org/10.1007/0-387-24255-4_13.

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Mockus, Jonas, William Eddy, Audris Mockus, Linas Mockus, and Gintaras Reklaitis. "Portable Fortran Library for Continuous Global Optimization." In Nonconvex Optimization and Its Applications. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2627-5_18.

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Locatelli, Marco. "Simulated Annealing Algorithms for Continuous Global Optimization." In Nonconvex Optimization and Its Applications. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-5362-2_6.

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Mockus, Jonas, William Eddy, Audris Mockus, Linas Mockus, and Gintaras Reklaitis. "Software for Continuous Global Optimization Using Unix C++." In Nonconvex Optimization and Its Applications. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2627-5_19.

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Mockus, Jonas, William Eddy, Audris Mockus, Linas Mockus, and Gintaras Reklaitis. "Bayesian Approach to Continuous Global and Stochastic Optimization." In Nonconvex Optimization and Its Applications. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2627-5_4.

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Conference papers on the topic "Continuous Global Optimization"

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Kumar, Udit, Sumit Soman та Jayadeva. "EigenAnt assisted IACOℝ for continuous global optimization". У 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844766.

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Yanxia, Niu, and Zhao Hengjun. "Generalized Filled Function for Global Continuous Optimization Problems." In 2012 Fifth International Joint Conference on Computational Sciences and Optimization (CSO). IEEE, 2012. http://dx.doi.org/10.1109/cso.2012.87.

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Yilmaz, Nurullah, and Ahmet Sahiner. "New global optimization method for non-smooth unconstrained continuous optimization." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992410.

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Azad, Md Abul Kalam, Edite M. G. P. Fernandes, Ana M. A. C. Rocha, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Nonlinear Continuous Global Optimization by Modified Differential Evolution." In ICNAAM 2010: International Conference of Numerical Analysis and Applied Mathematics 2010. AIP, 2010. http://dx.doi.org/10.1063/1.3498653.

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Soterroni, Aline C., Roberto L. Galski, and Fernando M. Ramos. "The q-gradient method for continuous global optimization." In 11TH INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2013: ICNAAM 2013. AIP, 2013. http://dx.doi.org/10.1063/1.4826022.

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Kazemi, Moslem, G. Gary Wang, Shahryar Rahnamayan, and Kamal Gupta. "Constraint Importance Mode Pursuing Sampling for Continuous Global Optimization." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28355.

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Many engineering design problems deal with global optimization of constrained black-box problems which is usually computation-intensive. Ref. [1] proposed a Mode-Pursuing Sampling (MPS) method for global optimization based on a sampling technique which systematically generates more sample points in the neighborhood of the function mode while statistically covering the entire problem domain. In this paper, we propose a novel and more efficient sampling technique which greatly enhances the performance of the MPS method, especially in the presence of expensive constraints. The effective sampling
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Anescu, George. "An Imperialistic Strategy Approach to Continuous Global Optimization Problem." In 2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2014. http://dx.doi.org/10.1109/synasc.2014.79.

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Jahedbozorgan, Mohammadreza, and Roya Amjadifard. "Sunshine: A novel random search for continuous global optimization." In 2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC). IEEE, 2016. http://dx.doi.org/10.1109/csiec.2016.7482111.

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Kumar, Udit, Jayadeva, and Sumit Soman. "Enhancing Incremental Ant Colony Algorithm for Continuous Global Optimization." In GECCO '15: Genetic and Evolutionary Computation Conference. ACM, 2015. http://dx.doi.org/10.1145/2739482.2764661.

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Zhang, Qin, and Xiong-hai Wang. "Binary and Continuous Ant Colony Algorithms Research for Solving Continuous Global Optimization Problem." In 2008 First International Conference on Intelligent Networks and Intelligent Systems (ICINIS). IEEE, 2008. http://dx.doi.org/10.1109/icinis.2008.12.

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Reports on the topic "Continuous Global Optimization"

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Glover, Fred. Probabilistic Methods for Global Optimization in Continuous Variables. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada304297.

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Glover, Fred. Probabilistic Methods or Global Optimization in Continuous Variables. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada311405.

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McElwain, Terry, Eugene Pipano, Guy Palmer, Varda Shkap, Stephen Hines, and Douglas Jasmer. Protection of Cattle Against Babesiosis: Immunization with Recombinant DNA Derived Apical Complex Antigens of Babesia bovis. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7612835.bard.

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Bovine babesiosis caused by Babesia bovis continues to be a significant deterrent to global livestock production. Current control methods have both biological and technical drawbacks that have stimulated research on improved methods of vaccination. This BARD project has focused on characterization of candidate Babesia bovis vaccine antigens located in the apical complex, a unique group of subcellular organelles - including rhoptries, micronemes, and spherical bodies - involved in the invation of erythrocytes. Spherical bodies and rhoptries were partially purified and their contents characteriz
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