Relevant bibliographies by topics / Global and local optimizations

Contents

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

Academic literature on the topic 'Global and local optimizations'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Global and local optimizations"

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Ravi Kiran, B., and Jean Serra. "Global–local optimizations by hierarchical cuts and climbing energies." Pattern Recognition 47, no. 1 (2014): 12–24. http://dx.doi.org/10.1016/j.patcog.2013.05.012.

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Wang, Wei, Xiaoshan Zhang, and Min Li. "A Filled Function Method Dominated by Filter for Nonlinearly Global Optimization." Journal of Applied Mathematics 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/245427.

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This work presents a filled function method based on the filter technique for global optimization. Filled function method is one of the effective methods for nonlinear global optimization, since it can effectively find a better minimizer. Filter technique is applied to local optimization methods for its excellent numerical results. In order to optimize the filled function method, the filter method is employed for global optimizations in this method. A new filled function is proposed first, and then the algorithm and its properties are proved. The numerical results are listed at the end.
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Li, Shuang, and Qiuwei Li. "Local and Global Convergence of General Burer-Monteiro Tensor Optimizations." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 9 (2022): 10266–74. http://dx.doi.org/10.1609/aaai.v36i9.21267.

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Tensor optimization is crucial to massive machine learning and signal processing tasks. In this paper, we consider tensor optimization with a convex and well-conditioned objective function and reformulate it into a nonconvex optimization using the Burer-Monteiro type parameterization. We analyze the local convergence of applying vanilla gradient descent to the factored formulation and establish a local regularity condition under mild assumptions. We also provide a linear convergence analysis of the gradient descent algorithm started in a neighborhood of the true tensor factors. Complementary t
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Zhang, Laiyong, Chunming Tu, Fan Xiao, Bei Liu, and Peiqiang Li. "Intrinsic Regularity Analysis and Optimization Control of Current Stress and RMS for Dual-Active Bridge Converter." Electronics 13, no. 23 (2024): 4802. https://doi.org/10.3390/electronics13234802.

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Currently, current stress optimization control and current effective value optimization control have become the mainstream methods for real-time optimization control of dual-active bridge converters. However, there is still a lack of systematic research on the internal optimization regularities between the two and their respective internal optimization regularities, as well as problems such as the complex derivation of the effective value optimization control variable function. To address these issues, this paper analyzes the optimization results of stress optimization, effective value optimiz
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Lazzaretto, Andrea, Andrea Toffolo, Matteo Morandin, and Michael R. von Spakovsky. "Criteria for the decomposition of energy systems in local/global optimizations." Energy 35, no. 2 (2010): 1157–63. http://dx.doi.org/10.1016/j.energy.2009.06.009.

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Yang, Dezhi, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Jinglin Zhang. "Federated Causality Learning with Explainable Adaptive Optimization." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 15 (2024): 16308–15. http://dx.doi.org/10.1609/aaai.v38i15.29566.

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Discovering the causality from observational data is a crucial task in various scientific domains. With increasing awareness of privacy, data are not allowed to be exposed, and it is very hard to learn causal graphs from dispersed data, since these data may have different distributions. In this paper, we propose a federated causal discovery strategy (FedCausal) to learn the unified global causal graph from decentralized heterogeneous data. We design a global optimization formula to naturally aggregate the causal graphs from client data and constrain the acyclicity of the global graph without e
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Zatolokin, Y. A., E. I. Vatutin, and V. S. Titov. "ALGORITHMIC OPTIMIZATION OF SOFTWARE IMPLEMENTATION OF ALGORITHMS FOR MULTIPLYING DENSE REAL MATRICES ON GRAPHICS PROCESSORS WITH OPENGL TECHNOLOGY SUPPORT." Proceedings of the Southwest State University 21, no. 5 (2017): 6–15. http://dx.doi.org/10.21869/2223-1560-2017-21-5-06-15.

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In the article was given statement of a problem of matrix multiplication. Is is show that desired problem can be simpl formulated but for its solving may be required both heuristic methods and set of algorithmic modifications relating to algorithmic and high-level software optimization taking into account the particular problem and allow to increase the multiplication performance. These include: a comparative analysis of the performance of the actions performed without GPU-specific optimizations and with optimizations, which showed that computations without optimizing the work with global GPU
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Bao, Rong, Yongdong Li, Hongguang Wang, and Chunliang Liu. "A Multi-Constrained Optimization Method for THz Backward Wave Oscillators." Applied Sciences 12, no. 20 (2022): 10583. http://dx.doi.org/10.3390/app122010583.

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The current design period for various backward wave oscillators (BWOs) is still at least several months. How to find the best structure parameters with an efficient and stable optimization method is a problem facing researchers in both scientific research and engineering work. In this paper, a non-randomized iterative optimization method is proposed. It applies orthogonal design methods to find local solutions that can provide optimal ‘gradient direction’ for several successive next iteration steps. An evaluation function is designed to distinguish the better ones from the local solutions in t
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Tohka, Jussi. "GLOBAL DEFORMABLE SURFACE OPTIMIZATION USING ADAPTIVE CONSTRAINTS AND PENALTIES." Image Analysis & Stereology 24, no. 1 (2011): 9. http://dx.doi.org/10.5566/ias.v24.p9-19.

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Deformable models are able to solve surface extraction problems challenged by image noise because imageindependent constraints are used to regularize the shape of the extracted surface. However, this ability of deformable models is shadowed by their application specificity, initialization sensitivity and the difficulty of the selection of proper values for user definable parameters. To overcome these problems restricting the automation of surface extraction, we present a new algorithm, named AdaCoP, for the global minimization of the energy of deformable surfaces. It iteratively performs const
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Jia, Jia, and Dejun Mu. "Low-Energy-Orientated Resource Scheduling in Cloud Computing by Particle Swarm Optimization." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 2 (2018): 339–44. http://dx.doi.org/10.1051/jnwpu/20183620339.

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In order to reduce the energy cost in cloud computing, this paper represents a novel energy-orientated resource scheduling method based on particle swarm optimization. The energy cost model in cloud computing environment is studied first. The optimization of energy cost is then considered as a multiobjective optimization problem, which generates the Pareto optimization set. To solve this multiobjective optimization problem, the particle swarm optimization is involved. The states of one particle consist of both the allocation plan for servers and the frequency plans on servers. Each particle in
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Dissertations / Theses on the topic "Global and local optimizations"

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Ding, Baoyan. "A parametric solution for local and global optimization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21341.pdf.

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Shiao, Cheng-Mu. "Resolution of kinematic redundancy through local and global optimization /." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487597424137831.

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Wang, Le Yi. "Normed double algebras, local and global optimization, and slow H00 adaptation." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74258.

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A normed space of input-output mappings equipped with two products, one global and the other local, called a normed double algebra (NDA), is introduced for the frozen-time analysis of stabilization and optimization of a class of slowly time-varying systems. Local-global relations within a normed double algebra are established, in the time and frequency domains, in systems which vary slowly. The local-global relations, applied to system properties such as stability, coprime factorization and optimization, enable global properties to be deduced from the local ones, especially in the frequency do
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Ragon, Scott Alan II. "Development of a Global/Local Approach and a Geometrically Non-linear Local Panel Analysis for Structural Design." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30761.

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A computationally efficient analysis capability for the geometrically non-linear response of compressively loaded prismatic plate structures was developed. Both a "full" finite strip solution procedure and a "reduced" solution procedure were implemented in a FORTRAN 90 computer code, and comparisons were made with results available in the technical literature. Both the full and reduced solution procedures were demonstrated to provide accurate results for displacement and strain quantities through moderately large post-buckling loads. The full method is a non-linear finite strip analysis of the
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Huynh, Vu Anh. "Combining local and global optimization for planning and control in information space." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45281.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2008.<br>Includes bibliographical references (leaves 99-102).<br>This thesis presents a novel algorithm, called the parametric optimized belief roadmap (POBRM), to address the problem of planning a trajectory for controlling a robot with imperfect state information under uncertainty. This question is formulated abstractly as a partially observable stochastic shortest path (POSSP) problem. We assume that the feature-based map of a region is available to assist the robot's decision-making. The
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Gogolashvili, Davit. "Global and local Kernel methods for dataset shift, scalable inference and optimization." Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS363v2.pdf.

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Dans de nombreux problèmes du monde réel, les données de formation et les données de test ont des distributions différentes. Cette situation est communément appelée " décalage de l'ensemble de données ". Les paramètres les plus courants pour le décalage des ensembles de données souvent considérés dans la littérature sont le décalage des covariables et le décalage des cibles. Dans cette thèse, nous étudions les modèles nonparamétriques appliqués au scénario de changement d'ensemble de données. Nous développons un nouveau cadre pour accélérer la régression par processus gaussien. En particulier,
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Steffens, Michael J. "A combined global and local methodology for launch vehicle trajectory design-space exploration and optimization." Thesis, Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51884.

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Trajectory optimization is an important part of launch vehicle design and operation. With the high costs of launching payload into orbit, every pound that can be saved increases affordability. One way to save weight in launch vehicle design and operation is by optimizing the ascent trajectory. Launch vehicle trajectory optimization is a field that has been studied since the 1950’s. Originally, analytic solutions were sought because computers were slow and inefficient. With the advent of computers, however, different algorithms were developed for the purpose of trajectory optimization. Computer
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Paudel, Danda Pani. "Local and global methods for registering 2D image sets and 3D point clouds." Thesis, Dijon, 2015. http://www.theses.fr/2015DIJOS077/document.

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Pas de résumé<br>In this thesis, we study the problem of registering 2D image sets and 3D point clouds under threedifferent acquisition set-ups. The first set-up assumes that the image sets are captured using 2Dcameras that are fully calibrated and coupled, or rigidly attached, with a 3D sensor. In this context,the point cloud from the 3D sensor is registered directly to the asynchronously acquired 2D images.In the second set-up, the 2D cameras are internally calibrated but uncoupled from the 3D sensor,allowing them to move independently with respect to each other. The registration for this se
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Cafieri, Sonia. "From local to global and back : a closed walk in mathematical programming and its applications." Habilitation à diriger des recherches, Université Paul Sabatier - Toulouse III, 2012. http://tel.archives-ouvertes.fr/tel-00979273.

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Ce document propose un parcours de mes travaux de recherche en optimisation, en passant par l'optimisation mixte en variables entières, l'optimisation non-linéaire continue locale et le clustering dans les réseaux (graphes). Le premier chapitre traite de la programmation non linéaire mixte en variables entières et de l'optimisation globale déterministe. Il présente des contributions relatives à des investigations théoriques ainsi que des applications à des problèmes concrets. Nous discutons principalement de relaxations convexes et de reformulations automatiques de problèmes de programmation m
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Seresta, Omprakash. "Buckling, Flutter, and Postbuckling Optimization of Composite Structures." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26401.

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This research work deals with the design and optimization of a large composite structure. In design of large structural systems, it is customary to divide the problem into many smaller independent/semi-independent local design problems. For example, the wing structure design problem is decomposed into several local panel design problem. The use of composite necessitates the inclusion of ply angles as design variables. These design variables are discrete in nature because of manufacturing constraint. The multilevel approach results into a nonblended solution with no continuity of laminate layup
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Books on the topic "Global and local optimizations"

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Migdalas, Athanasios, Panos M. Pardalos, and Peter Värbrand, eds. From Local to Global Optimization. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-5284-7.

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Athanasios, Migdalas, Pardalos P. M. 1954-, and Värbrand Peter, eds. From local to global optimization. Kluwer Academic, 2001.

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Athanasios, Migdalas, Pardalos P. M. 1954-, and Värbrand Peter, eds. From local to global optimization. Kluwer Academic, 2001.

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M, Pardalos Panos, and Värbrand Peter, eds. From Local to Global Optimization. Springer US, 2001.

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Floudas, Christodoulos A., Pãnos M. Pardalos, Claire S. Adjiman, et al. Handbook of Test Problems in Local and Global Optimization. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-3040-1.

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Floudas, Christodoulos A. Handbook of Test Problems in Local and Global Optimization. Springer US, 1999.

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A, Floudas Christodoulos, ed. Handbook of test problems in local and global optimization. Kluwer Academic Publishers, 1999.

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A, Floudas Christodoulos, and Pardalos P. M. 1954-, eds. Optimization in computational chemistry and molecular biology: Local and global approaches. Kluwer Academic Publishers, 2000.

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Mirando, Wander Melo. Local/global. Fundaço Memorial de América Latina, 1998.

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Berman, Ila. URBANbuild: Local global. William Stout Publishers, 2008.

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Book chapters on the topic "Global and local optimizations"

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Schäffler, Stefan. "Unconstrained Local Optimization." In Global Optimization. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3927-1_2.

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Svanberg, K. "Local and Global Optima." In Optimization of Large Structural Systems. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-010-9577-8_28.

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Du, Ding-Zhu, Panos M. Pardalos, and Weili Wu. "From Local to Global." In Nonconvex Optimization and Its Applications. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-5795-8_15.

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El-Shorbagy, M. A., and Aboul Ella Hassanien. "Spherical Local Search for Global Optimization." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99010-1_28.

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Krzeszowski, Tomasz, Bogdan Kwolek, and Konrad Wojciechowski. "Model-Based 3D Human Motion Capture Using Global-Local Particle Swarm Optimizations." In Computer Recognition Systems 4. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20320-6_31.

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Nareyek, Alexander. "Using global constraints for local search." In Constraint Programming and Large Scale Discrete Optimization. American Mathematical Society, 2001. http://dx.doi.org/10.1090/dimacs/057/02.

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Bolton, Hermanus P. J., Jaco F. Schutte, and Albert A. Groenwold. "Multiple Parallel Local Searches in Global Optimization." In Recent Advances in Parallel Virtual Machine and Message Passing Interface. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45255-9_15.

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Bagirov, A. M., N. Sultanova, A. Al Nuaimat, and S. Taheri. "Solving Minimax Problems: Local Smoothing Versus Global Smoothing." In Numerical Analysis and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90026-1_2.

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Hamma, Beidi Soumana. "Local and Global Behavior of Moving Polytope Algorithms." In Nonconvex Optimization and Its Applications. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-5284-7_14.

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Panik, Michael J. "Global and Local Extrema of Real-Valued Functions." In Mathematical Analysis and Optimization for Economists. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003164494-5-5.

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Conference papers on the topic "Global and local optimizations"

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Wang, Shunge, Yifeng Qiu, Wenji Li, et al. "Multi-stage Global and Local Cooperative Constrained Multi-objective Evolutionary Algorithm." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704460.

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Hang, Xin, Yang Xu, Hongli Xu, Yunming Liao, and Lun Wang. "Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization." In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2024. http://dx.doi.org/10.1109/ccgrid59990.2024.00037.

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Borraccini, Giacomo, Andrea D’Amico, Stefano Straullu, et al. "Local vs. Global Optimization for Optical Line System Control in Disaggregated Networks." In 2023 International Conference on Optical Network Design and Modeling (ONDM). IEEE, 2023. http://dx.doi.org/10.23919/ondm57372.2023.10144865.

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Renaud, J. E., and G. A. Gabriele. "Sequential Global Approximation in Non-Hierarchic System Decomposition and Optimization." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0086.

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Abstract A procedure for the optimization of non-hierarchic systems by decomposition into reduced subspaces is presented. Sequential global approximation is proposed as a coordination procedure for subspace optimizations. The same objective function and cumulative constraints are imposed at each subspace. Non-local functions are approximated at the subspaces using global sensitivities. The method optimizes the subspace problems concurrently allowing for parallel processing. Following each sequence of concurrent subspace optimizations an approximation to the global problem is formed using desig
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Zhou Wu, Lu Xu, Tommy W. S. Chow, and Mingbo Zhao. "Local cooperation delivers global optimization." In 2012 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2012. http://dx.doi.org/10.1109/cec.2012.6256548.

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Alam, Mohammad Shafiul, Md Ashiqur Rahman, and Md Monirul Islam. "A new framework for balancing both local and global optimizations in evolutionary algorithms." In 2007 10th International Conference on Computer and Information Technology (ICCIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/iccitechn.2007.4579358.

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Xun Wang, Chang-Dong Wang, and Jian-Huang Lai. "Modularity optimization by Global-Local Search." In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727287.

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Liu, Qiang, Sameer B. Mulani, and Rakesh K. Kapania. "Global/Local Multidisciplinary Design Optimization of Subsonic Wing." In 10th AIAA Multidisciplinary Design Optimization Conference. American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0471.

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Kuszmaul, Christopher L. "FFT communications requirement optimizations on massively parallel architectures with local and global interprocessor communications capabilities." In San Diego '90, 8-13 July, edited by Franklin T. Luk. SPIE, 1990. http://dx.doi.org/10.1117/12.23497.

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Lancinskas, Algirdas, Julius Zilinskas, and Pilar Martinez Ortigosa. "Local optimization in global Multi-Objective Optimization Algorithms." In 2011 Third World Congress on Nature and Biologically Inspired Computing (NaBIC). IEEE, 2011. http://dx.doi.org/10.1109/nabic.2011.6089613.

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Reports on the topic "Global and local optimizations"

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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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Gurdal, Zafer, Scott Ragon, and Douglas Lindner. Global/Local Design Optimization of a Power Distribution System. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada387344.

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Gurdal, Zafer, Scott Ragon, and Douglas Lindner. Global/Local Design Optimization of A Power Distribution System. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada389411.

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Lindner, Douglas K. Energy Based Topology Optimization of Morphing Wings a Multidisciplinary Global/Local Design Approach. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada480198.

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Aceves, S., V. Sahai, and W. Stein. Explanation of how to run the global local optimization code (GLO) to find surface heat flux. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/8214.

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Chuang, Feng-Chuan. Global structual optimizations of surface systems with a genetic algorithm. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/850036.

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Cooper, Leon N. Local and Global Factors in Learning. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada161128.

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Sánchez Gassen, Nora, Oskar Penje, and Elin Slätmo. Global goals for local priorities: The 2030 Agenda at local level. Nordregio, 2018. http://dx.doi.org/10.30689/r2018:2.1403-2503.

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Chandrasekhar, Arun, Melanie Morten, and Alessandra Peter. Network-Based Hiring: Local Benefits; Global Costs. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w26806.

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Durlauf, Steven, and Paul Johnson. Local Versus Global Convergence Across National Economies. National Bureau of Economic Research, 1992. http://dx.doi.org/10.3386/w3996.

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