Search Results - Numerical Al- gorithms and Problems General Terms Algorithms Keywords Benchmarking

Benchmarking the Nelder-Mead downhill simplex algorithm with many local restarts

Authors: Nikolaus Hansen The Pennsylvania State University CiteSeerX Archives

Contributors: Nikolaus Hansen The Pennsylvania State University CiteSeerX Archives

Source: https://hal.inria.fr/file/index/docid/382104/filename/hansen2009bnm.pdf.

Subject Terms: mization, unconstrained optimization, F.2.1 [Analysis of Algorithms and Problem Complexity, Numerical Al- gorithms and Problems General Terms Algorithms Keywords Benchmarking, Black-box optimization, Evolutionary com- putation, Simplex downhill

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Comparison to the BIPOP-CMA-ES

Authors: Raymond Ros The Pennsylvania State University CiteSeerX Archives

Contributors: Raymond Ros The Pennsylvania State University CiteSeerX Archives

Source: https://hal.inria.fr/file/index/docid/473778/filename/ws1p13-ros.pdf.

Subject Terms: Categories and Subject Descriptors G.1.6 [Numerical Analysis, Optimization—global opti- mization, unconstrained optimization, F.2.1 [Analysis of Algorithms and Problem Complexity, Numerical Al- gorithms and Problems General Terms Algorithms Keywords Benchmarking, Black-box optimization, Evolution strategies 1. ALGORITHM PRESENTATION

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Noisy Testbed

Authors: Nikolaus Hansen The Pennsylvania State University CiteSeerX Archives

Contributors: Nikolaus Hansen The Pennsylvania State University CiteSeerX Archives

Source: https://hal.inria.fr/file/index/docid/382101/filename/hansen2009bbn.pdf.

Subject Terms: Algorithms and Problem Complexity, Numerical Al- gorithms and Problems General Terms Algorithms Keywords Benchmarking, Black-box optimization, Direct search, Evo

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Research Progress of CMC Structures for Advanced Engines in Vibration Stability and Flutter Analysis.

Alternate Title: 陶瓷基复合材料在先进发动机中的振动稳定性与 颤振分析研究进展. (Chinese)

Authors: Maojing, RAN Lu, ZHANG Xiguang, GAO et al.

Source: Transactions of Nanjing University of Aeronautics & Astronautics; Aug2025, Vol. 42 Issue 4, p411-451, 41p

Subject Terms: COMPOSITE materials, PROPULSION systems, DAMAGE models, AERODYNAMIC stability, MECHANICAL vibration research, MULTISCALE modeling, THERMAL stability

Comparison of NEWUOA with different numbers of interpolation points on the BBOB noisy testbed

Authors: Raymond Ros Hal Id Inria The Pennsylvania State University CiteSeerX Archives

Contributors: Raymond Ros Hal Id Inria The Pennsylvania State University CiteSeerX Archives

Source: https://hal.inria.fr/file/index/docid/473776/filename/ws1p11-ros.pdf.

Subject Terms: Categories and Subject Descriptors G.1.6 [Numerical Analysis, Optimization—global opti- mization, unconstrained optimization, F.2.1 [Analysis of Algorithms and Problem Complexity, Numerical Al- gorithms and Problems General Terms Algorithms Keywords Benchmarking, Black-box optimization

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An experimental analysis of deepest bottom-left-fill packing methods for additive manufacturing.

Authors: Araújo, Luiz J.P. Panesar, Ajit Özcan, Ender et al.

Source: International Journal of Production Research; Nov2020, Vol. 58 Issue 22, p6917-6933, 17p, 7 Diagrams, 6 Charts, 2 Graphs

Subject Terms: MANUFACTURED products, DEGREES of freedom, ALGORITHMS, INDUSTRIAL costs, GEOMETRY, METAHEURISTIC algorithms

Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach.

Authors: Zhang, Jin Yan, Fu Yang, Jianqiang

Source: Journal of Big Data; 1/26/2025, Vol. 12 Issue 1, p1-43, 43p

Subject Terms: OPTIMIZATION algorithms, FEATURE selection, ROOT growth, PLANT anatomy, MACHINE learning

Empirical Hardness Models: Methodology and a Case Study on Combinatorial Auctions.

Authors: LEYTON-BROWN, KEVIN NUDELMAN, EUGENE SHOHAM, YOAV

Source: Journal of the ACM; Jun2009, Vol. 56 Issue 4, p22:1-22:52, 52p, 2 Diagrams, 6 Charts, 27 Graphs

Subject Terms: MACHINE learning, BENCHMARKING (Management), ARTIFICIAL intelligence, COMPUTATIONAL complexity, NP-complete problems, COMPUTATIONAL learning theory, EXPLANATION-based learning

A New Two-Parameter Family of Nonlinear Conjugate Gradient Method Without Line Search for Unconstrained Optimization Problem.

Alternate Title: 无约束优化问题的一种新的无线搜索的两参数族非线性共轭梯度法. (Chinese)

Authors: ZHU Tiefeng

Source: Wuhan University Journal of Natural Sciences; Oct2024, Vol. 29 Issue 5, p403-411, 9p

Advances in digital twin technology in industry: A review of applications, challenges, and standardization.

Authors: Li Ai Ziehl, Paul

Source: Journal of Intelligent Construction; Jun2025, Vol. 3 Issue 2, p1-19, 19p

Subject Terms: INDUSTRIALISM, DIGITAL twin, ARTIFICIAL intelligence, DATA analytics, DATA management

OBJECT LIBRARY OF ALGORITHMS FOR DYNAMIC OPTIMIZATION PROBLEMS: BENCHMARKING SQP AND NONLINEAR INTERIOR POINT METHODS.

Authors: Błaszczyk, Jacek Karbowski, Andrzej Malinowski, Krzysztof

Source: International Journal of Applied Mathematics & Computer Science; Dec2007, Vol. 17 Issue 4, p515-537, 23p, 1 Diagram, 2 Charts, 6 Graphs

Subject Terms: ALGORITHMS, QUADRATIC programming, DATA analysis, ALGEBRA, NONLINEAR programming, MATHEMATICAL programming

Toward Trustworthy Artificial Intelligence (TAI) in the Context of Explainability and Robustness.

Authors: chander, Bhanu John, Chinju Warrier, Lekha et al.

Source: ACM Computing Surveys; Jun2025, Vol. 57 Issue 6, p1-49, 49p

Subject Terms: ARTIFICIAL intelligence, ARTIFICIAL neural networks, MACHINE learning, EQUAL Credit Opportunity Act, FAIR Credit Reporting Act, DEEP learning

A Systematic Literature Review on Maintenance of Software Containers.

Authors: Malhotra, Ruchika Bansal, Anjali Kessentini, Marouane

Source: ACM Computing Surveys; Aug2024, Vol. 56 Issue 8, p1-38, 38p

Subject Terms: PARTICLE swarm optimization, ANT algorithms, DEEP reinforcement learning, REINFORCEMENT learning, MACHINE learning, DEEP learning

Algorithms for path optimizations: a short survey.

Authors: De Sirisuriya, S C M S Fernando, T G I Ariyaratne, M K A

Source: Computing; Feb2023, Vol. 105 Issue 2, p293-319, 27p

Subject Terms: MATHEMATICAL optimization, MACHINE learning, ART techniques, SWARM intelligence, EVOLUTIONARY algorithms

DELM: Deep Ensemble Learning Model for Anomaly Detection in Malicious Network Traffic-based Adaptive Feature Aggregation and Network Optimization.

Authors: Ahmed, Mukhtar Chen, Jinfu Akpaku, Ernest et al.

Source: ACM Transactions on Privacy & Security; Nov2024, Vol. 27 Issue 4, p1-36, 36p

Subject Terms: ARTIFICIAL neural networks, COMPUTER network traffic, ANOMALY detection (Computer security), DEEP learning, COMPUTER network security

A globally convergent inexact Newton method with a new choice for the forcing term.

Authors: Gomes-Ruggiero, Márcia A. Lopes, Véra Lucia Rocha Toledo-Benavides, Julia Victoria

Source: Annals of Operations Research; Jan2008, Vol. 157 Issue 1, p193-205, 13p, 1 Chart, 2 Graphs

Subject Terms: NEWTON-Raphson method, NONLINEAR systems, ALGORITHMS, ITERATIVE methods (Mathematics), SYSTEMS theory, OPERATIONS research

Comparative performance of some popular artificial neural network algorithms on benchmark and function approximation problems.

Authors: Dhar, V. K. Tickoo, A. K. Koul, R. et al.

Source: Pramana: Journal of Physics; Feb2010, Vol. 74 Issue 2, p307-324, 18p, 7 Charts, 5 Graphs

Subject Terms: ARTIFICIAL intelligence, ARTIFICIAL neural networks, BENCHMARKING (Management), ALGORITHMS, NEURAL circuitry

A recursive algorithm for nonlinear least-squares problems.

Authors: Alessandri, A. Cuneo, M. Pagnan, S. et al.

Source: Computational Optimization & Applications; Nov2007, Vol. 38 Issue 2, p195-216, 22p, 3 Diagrams, 2 Charts, 2 Graphs

Subject Terms: LEAST squares, ALGORITHMS, MATHEMATICAL optimization, ESTIMATION theory, NUMERICAL analysis, STOCHASTIC convergence, KALMAN filtering

Matching-based preprocessing algorithms to the solution of saddle-point problems in large-scale nonconvex interior-point optimization.

Authors: Schenk, Olaf Wächter, Andreas Hagemann, Michael

Source: Computational Optimization & Applications; Mar2007, Vol. 36 Issue 2/3, p321-341, 21p, 5 Diagrams, 5 Charts, 2 Graphs

Subject Terms: INTERIOR-point methods, MATHEMATICAL programming, MATHEMATICS, ALGORITHMS, NONCONVEX programming, LINEAR algebra

Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques.

Authors: Abid, Ahlem Jemili, Farah Korbaa, Ouajdi

Source: Cluster Computing; Apr2024, Vol. 27 Issue 2, p2217-2238, 22p

Subject Terms: INDUSTRIAL controls manufacturing, MULTISENSOR data fusion, DATA fusion (Statistics), CLOUD computing, BIG data, PROCESS capability, INTRUSION detection systems (Computer security)