Relevant bibliographies by topics / Global Optimization

Contents

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

Academic literature on the topic 'Global Optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Global Optimization"

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Sahinidis, Nikolaos V. "Global optimization." Optimization Methods and Software 24, no. 4-5 (2009): 479–82. http://dx.doi.org/10.1080/10556780903135287.

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Hartke, Bernd. "Global optimization." Wiley Interdisciplinary Reviews: Computational Molecular Science 1, no. 6 (2011): 879–87. http://dx.doi.org/10.1002/wcms.70.

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Stephens, C. P., and W. Baritompa. "Global Optimization Requires Global Information." Journal of Optimization Theory and Applications 96, no. 3 (1998): 575–88. http://dx.doi.org/10.1023/a:1022612511618.

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Cui-Cui Cai, Cui-Cui Cai, Mao-Sheng Fu Cui-Cui Cai, Xian-Meng Meng Mao-Sheng Fu, Qi-Jian Wang Xian-Meng Meng, and Yue-Qin Wang Qi-Jian Wang. "Modified Harris Hawks Optimization Algorithm with Multi-strategy for Global Optimization Problem." 電腦學刊 34, no. 6 (2023): 091–105. http://dx.doi.org/10.53106/199115992023123406007.

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<p>As a novel metaheuristic algorithm, the Harris Hawks Optimization (HHO) algorithm has excellent search capability. Similar to other metaheuristic algorithms, the HHO algorithm has low convergence accuracy and easily traps in local optimal when dealing with complex optimization problems. A modified Harris Hawks optimization (MHHO) algorithm with multiple strategies is presented to overcome this defect. First, chaotic mapping is used for population initialization to select an appropriate initiation position. Then, a novel nonlinear escape energy update strategy is presented to control t
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Black, Fischer, and Robert Litterman. "Global Portfolio Optimization." Financial Analysts Journal 48, no. 5 (1992): 28–43. http://dx.doi.org/10.2469/faj.v48.n5.28.

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Sellis, Timos K. "Global query optimization." ACM SIGMOD Record 15, no. 2 (1986): 191–205. http://dx.doi.org/10.1145/16856.16874.

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Odili, Julius Beneoluchi, and A. Noraziah. "African Buffalo Optimization for Global Optimization." Current Science 114, no. 03 (2018): 627. http://dx.doi.org/10.18520/cs/v114/i03/627-636.

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Ng, Chi-Kong, Duan Li, and Lian-Sheng Zhang. "Global Descent Method for Global Optimization." SIAM Journal on Optimization 20, no. 6 (2010): 3161–84. http://dx.doi.org/10.1137/090749815.

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Beheshti, Zahra, Siti Mariyam Shamsuddin, and Sarina Sulaiman. "Fusion Global-Local-Topology Particle Swarm Optimization for Global Optimization Problems." Mathematical Problems in Engineering 2014 (2014): 1–19. http://dx.doi.org/10.1155/2014/907386.

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In recent years, particle swarm optimization (PSO) has been extensively applied in various optimization problems because of its structural and implementation simplicity. However, the PSO can sometimes find local optima or exhibit slow convergence speed when solving complex multimodal problems. To address these issues, an improved PSO scheme called fusion global-local-topology particle swarm optimization (FGLT-PSO) is proposed in this study. The algorithm employs both global and local topologies in PSO to jump out of the local optima. FGLT-PSO is evaluated using twenty (20) unimodal and multimo
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Ouyang, Hai-bin, Li-qun Gao, Xiang-yong Kong, De-xuan Zou, and Steven Li. "Teaching-learning based optimization with global crossover for global optimization problems." Applied Mathematics and Computation 265 (August 2015): 533–56. http://dx.doi.org/10.1016/j.amc.2015.05.012.

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Dissertations / Theses on the topic "Global Optimization"

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Singer, Adam B. "Global dynamic optimization." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28662.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2004.<br>Includes bibliographical references (p. 247-256).<br>(cont.) on a set composed of the Cartesian product between the parameter bounds and the state bounds. Furthermore, I show that the solution of the differential equations is affine in the parameters. Because the feasible set is convex pointwise in time, the standard result that a convex function composed with an affine function remains convex yields the desired result that the integrand is convex under composition. Additionally, methods are develop
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Ruan, Ning. "Global optimization for nonconvex optimization problems." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1936.

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Duality is one of the most successful ideas in modern science [46] [91]. It is essential in natural phenomena, particularly, in physics and mathematics [39] [94] [96]. In this thesis, we consider the canonical duality theory for several classes of optimization problems.The first problem that we consider is a general sum of fourth-order polynomial minimization problem. This problem arises extensively in engineering and science, including database analysis, computational biology, sensor network communications, nonconvex mechanics, and ecology. We first show that this global optimization problem
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Moore, Roxanne Adele. "Value-based global optimization." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44750.

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Computational models and simulations are essential system design tools that allow for improved decision making and cost reductions during all phases of the design process. However, the most accurate models are often computationally expensive and can therefore only be used sporadically. Consequently, designers are often forced to choose between exploring many design alternatives with less accurate, inexpensive models and evaluating fewer alternatives with the most accurate models. To achieve both broad exploration of the alternatives and accurate determination of the best alternative with rea
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Birbil, Sevket Ilker. "Stochastic Global Optimization Techniques." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-20020403-171452.

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<p>In this research, a novel population-based global optimization method has been studied. The method is called Electromagnetism-like Mechanism or in short EM. The proposed method mimicks the behavior of electrically charged particles. In other words, a set of points is sampled from the feasible region and these points imitate the role of the charged particles in basic electromagnetism. The underlying idea of the method is directing sample points toward local optimizers, which point out attractive regions of the feasible space.The proposed method has been applied to different test problems fro
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Gattupalli, Rajeswar R. "Advances in global optimization /." View online ; access limited to URI, 2008. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3314454.

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Zehnder, Nino. "Global optimization of laminated structures /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17573.

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Quttineh, Nils-Hassan. "Algorithms for Costly Global Optimization." Licentiate thesis, Mälardalen University, School of Education, Culture and Communication, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5970.

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<p>There exists many applications with so-called costly problems, which means that the objective function you want to maximize or minimize cannot be described using standard functions and expressions. Instead one considers these objective functions as ``black box'' where the parameter values are sent in and a function value is returned. This implies in particular that no derivative information is available.The reason for describing these problems as expensive is that it may take a long time to calculate a single function value. The black box could, for example, solve a large system of differen
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Schonlau, Matthias. "Computer experiments and global optimization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq22234.pdf.

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Al-Mharmah, Hisham. "Global optimization of stochastic functions." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/25665.

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Oulmane, Mourad. "On-Chip global interconnect optimization." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33985.

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We present a practical yet accurate approach for dealing with the problem of inserting repeaters along on-chip interconnect lines to meet delay and transition time requirements. This approach is based on the fact that the transition time and the delay at the far end of an interconnect segment are, respectively, independent and linearly dependent on the driving repeater's input transition time, as long as the ratio of the output to input transition time does not exceed a pre-defined value. In this context, we first derive simple closed form expressions for the optimal repeater spacing and sizin
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Books on the topic "Global Optimization"

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

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

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

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Törn, Aimo, and Antanas Žilinskas, eds. Global Optimization. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-50871-6.

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Pintér, János D., ed. Global Optimization. Springer US, 2006. http://dx.doi.org/10.1007/0-387-30927-6.

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Liberti, Leo, and Nelson Maculan, eds. Global Optimization. Springer US, 2006. http://dx.doi.org/10.1007/0-387-30528-9.

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Schäffler, Stefan. Global Optimization. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3927-1.

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A, Zhilinskas, ed. Global optimization. Springer-Verlag, 1989.

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Floudas, Christodoulos A. Deterministic Global Optimization. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-4949-6.

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Chew, Soo Hong, and Quan Zheng. Integral Global Optimization. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-46623-6.

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Book chapters on the topic "Global Optimization"

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Tuy, Hoang, Steffen Rebennack, and Panos M. Pardalos. "Global Optimization." In Encyclopedia of Operations Research and Management Science. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_1142.

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Kulisch, Ulrich, Rolf Hammer, Matthias Hocks, and Dietmar Ratz. "Global Optimization." In C++ Toolbox for Verified Computing I. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79651-7_14.

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Kulisch, Ulrich, Rolf Hammer, Matthias Hocks, and Dietmar Ratz. "Global Optimization." In C++ Toolbox for Verified Computing I. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79651-7_7.

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Forst, Wilhelm, and Dieter Hoffmann. "Global Optimization." In Optimization—Theory and Practice. Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-78977-4_8.

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Heitzinger, Clemens. "Global Optimization." In Algorithms with JULIA. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16560-3_11.

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Kulisch, Ulrich, Rolf Hammer, Dietmar Ratz, and Matthias Hocks. "Global Optimization." In Springer Series in Computational Mathematics. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78423-1_14.

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Kulisch, Ulrich, Rolf Hammer, Dietmar Ratz, and Matthias Hocks. "Global Optimization." In Springer Series in Computational Mathematics. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78423-1_7.

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Schäffler, Stefan. "Unconstrained Global Optimization." In Global Optimization. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3927-1_3.

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Schäffler, Stefan. "Constrained Global Optimization." In Global Optimization. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3927-1_5.

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Schäffler, Stefan. "Vector Optimization." In Global Optimization. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3927-1_6.

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Conference papers on the topic "Global Optimization"

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Shen, Xiaohui, and Yonggang Wu. "An Improved Adaptive Beluga Whale Optimization for Global Optimization." In 2024 IEEE 9th International Conference on Computational Intelligence and Applications (ICCIA). IEEE, 2024. http://dx.doi.org/10.1109/iccia62557.2024.10719171.

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Sellis, Timos K. "Global query optimization." In the 1986 ACM SIGMOD international conference. ACM Press, 1986. http://dx.doi.org/10.1145/16894.16874.

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NAN, Marin Silviu. "EXACT GLOBAL OPTIMIZATION." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/21/s07.039.

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Daboul, Siad, Stephan Held, Bento Natura, and Daniel Rotter. "Global Interconnect Optimization." In 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD). IEEE, 2019. http://dx.doi.org/10.1109/iccad45719.2019.8942155.

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Bánhelyi, Balázs, Tibor Csendes, Balázs Lévai, Dániel Zombori, and László Pál. "Improved versions of the GLOBAL optimization algorithm and the globalJ modularized toolbox." In PROCEEDINGS LEGO – 14TH INTERNATIONAL GLOBAL OPTIMIZATION WORKSHOP. Author(s), 2019. http://dx.doi.org/10.1063/1.5089989.

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Calvin, James M., Craig J. Gotsman, and Cuicui Zheng. "Global optimization for image registration." In PROCEEDINGS LEGO – 14TH INTERNATIONAL GLOBAL OPTIMIZATION WORKSHOP. Author(s), 2019. http://dx.doi.org/10.1063/1.5089975.

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Kosolap, Anatolii. "Quadratic regularization for global optimization." In PROCEEDINGS LEGO – 14TH INTERNATIONAL GLOBAL OPTIMIZATION WORKSHOP. Author(s), 2019. http://dx.doi.org/10.1063/1.5090001.

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BOGDAN, Constantin. "NUMERICAL NONLINEAR GLOBAL OPTIMIZATION." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/21/s07.061.

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Bilbro, Griff L. "Fast stochastic global optimization." In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, edited by Su-Shing Chen. SPIE, 1993. http://dx.doi.org/10.1117/12.162050.

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Rogers, John. "Global optimization and desensitization." In SPIE Optifab, edited by Julie L. Bentley and Sebastian Stoebenau. SPIE, 2015. http://dx.doi.org/10.1117/12.2196010.

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Reports on the topic "Global Optimization"

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Dunlavy, Daniel M., and Dianne P. O'Leary. Homotopy optimization methods for global optimization. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/876373.

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Haftka, Raphael T. Theory and Algorithms for Global/Local Design Optimization. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada437353.

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Malony, Allen D., and Sameer S. Shende. MOGO: Model-Oriented Global Optimization of Petascale Applications. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1096588.

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Eskow, Elizabeth, and Robert B. Schnabel. Mathematical Modeling of a Parallel Global Optimization Algorithm. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada446514.

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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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Marcus, Steven I., Michael C. Fu, and Jiaqiao Hu. Simulation-Based Methodologies for Global Optimization and Planning. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada591505.

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Oblow, E. M. STP: A Stochastic Tunneling Algorithm for Global Optimization. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/814395.

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HART, WILLIAM E. LDRD Final Report: Global Optimization for Engineering Science Problems. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/15153.

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Anderson, P. B., D. W. Norton, and M. A. Young. CM-5 Kernel Optimization of a Global Weather Model. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada295796.

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