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A wide class of test functions for global optimization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-53032-0openalex-snapshot
A Collection of Test Problems for Constrained Global Optimization Algorithms
inferredcites →https://doi.org/10.1007/bf00934132openalex-snapshot
Bayesian testing of nonparametric hypotheses and its application to global optimization
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Towards global optimization 2
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A stochastic technique for global optimization
inferredcites →https://doi.org/10.1090/s0025-5718-1978-0458027-6openalex-snapshot
Shepard's Method of "Metric Interpolation" to Bivariate and Multivariate Interpolation
inferredcites →https://doi.org/10.1090/s0025-5718-60-99239-5openalex-snapshot
Mathematics of Computation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9780470400531.eorms1006openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/3-540-58484-6_264openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4613-0251-3_24openalex-snapshot
Pre-search Screening: A Technique to Improve Search Efficiency in Global Optimization
inferred← citeshttps://doi.org/10.1007/978-1-4615-2025-2openalex-snapshot
Handbook of Global Optimization
inferred← citeshttps://doi.org/10.1007/978-1-4757-5362-2_15openalex-snapshot
Global Optimization: Software, Test Problems, and Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-03766-6_10openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-43089-4_1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-03753-0_46openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-38577-3_23openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/bf01096532openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00158-023-03608-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-004-8270-3openalex-snapshot
On the Convergence of a Population-Based Global Optimization Algorithm
inferred← citeshttps://doi.org/10.1007/s10898-004-9971-3openalex-snapshot
Comparative Assessment of Algorithms and Software for Global Optimization
inferred← citeshttps://doi.org/10.1007/s10898-006-9040-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-006-9099-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-010-9540-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-011-9834-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-012-9940-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-013-0101-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-014-0184-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-016-0467-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-017-0599-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-020-00928-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-025-01555-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11081-017-9366-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11228-010-0169-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11590-024-02109-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11750-011-0209-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12206-015-0434-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12351-019-00462-8openalex-snapshot
A new benchmark optimization problem of adaptable difficulty: theoretical considerations and practical testing
inferred← citeshttps://doi.org/10.1007/s12532-018-0144-7openalex-snapshot
RBFOpt: an open-source library for black-box optimization with costly function evaluations
inferred← citeshttps://doi.org/10.1007/s40305-018-0204-8openalex-snapshot
A Stochastic Adaptive Radial Basis Function Algorithm for Costly Black-Box Optimization
inferred← citeshttps://doi.org/10.1007/s43069-024-00403-yopenalex-snapshot
Using Estimated Gradients in Bound-Constrained Global Optimization
inferred← citeshttps://doi.org/10.1016/j.cor.2014.06.019openalex-snapshot
Test problem generator for unconstrained global optimization
inferred← citeshttps://doi.org/10.1016/j.ejor.2006.08.040openalex-snapshot
Parallel radial basis function methods for the global optimization of expensive functions
inferred← citeshttps://doi.org/10.1016/j.enbuild.2016.12.072openalex-snapshot
Minimizing computational cost and energy demand of building lighting systems: A real time experiment using a modified competition over resources algorithm
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121693openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s0305-0548(99)00054-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1023/a:1022452626305openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/0305215x.2011.598521openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/0305215x.2012.687731openalex-snapshot
Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization
inferred← citeshttps://doi.org/10.1080/0305215x.2015.1082350openalex-snapshot
Trust regions in Kriging-based optimization with expected improvement
inferred← citeshttps://doi.org/10.1109/iccet.2010.5486217openalex-snapshot
Notice of Retraction: A hybrid population-based algorithm for constrained global programming
inferred← citeshttps://doi.org/10.1109/icecct.2015.7225975openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsitech.2016.7852653openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/idea49133.2020.9170663openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/incos.2014.55openalex-snapshot
Competition over Resources: A New Optimization Algorithm Based on Animals Behavioral Ecology
inferred← citeshttps://doi.org/10.1109/nabic.2009.5393690openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tevc.2021.3139263openalex-snapshot
A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization
inferred← citeshttps://doi.org/10.1109/wsc.2013.6721486openalex-snapshot
An adaptive radial basis function method using weighted improvement
inferred← citeshttps://doi.org/10.1111/itor.12190openalex-snapshot
SOMS: SurrOgate MultiStart algorithm for use with nonlinear programming for global optimization
inferred← citeshttps://doi.org/10.1145/3671151.3671193openalex-snapshot
Double Loop Control of Tri-level APF Based on Double-group Bat Algorithm with Self-adaptive Step
inferred← citeshttps://doi.org/10.1184/r1/6721130openalex-snapshot
Probabilistic Approaches for Pose Estimation
inferred← citeshttps://doi.org/10.1287/ijoc.1060.0182openalex-snapshot
A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions
inferred← citeshttps://doi.org/10.1287/ijoc.1090.0325openalex-snapshot
Parallel Stochastic Global Optimization Using Radial Basis Functions
inferred← citeshttps://doi.org/10.1504/ijmmno.2010.035430openalex-snapshot
Engineering optimisation by cuckoo search
inferred← citeshttps://doi.org/10.3390/a11030030openalex-snapshot
Modified Cuckoo Search Algorithm with Variational Parameters and Logistic Map
inferred← citeshttps://doi.org/10.3390/math13213524openalex-snapshot
Composite Test Functions for Benchmarking Nonlinear Optimization Software
inferred← citeshttps://doi.org/10.3934/jimo.2012.8.103openalex-snapshot
A tropical cyclone-based method for global optimization
inferred← citeshttps://doi.org/10.4230/oasics.atmos.2025.6openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1103.2695openalex-snapshot
Software for Generation of Classes of Test Functions with Known Local and Global Minima for Global Optimization
inferred← citeshttps://doi.org/10.48550/arxiv.1211.6410openalex-snapshot
New Hoopoe Heuristic Optimization
inferred← citeshttps://doi.org/10.48550/arxiv.1312.4044openalex-snapshot
CACO : Competitive Ant Colony Optimization, A Nature-Inspired Metaheuristic For Large-Scale Global Optimization
inferred← citeshttps://doi.org/10.5120/16859-6741openalex-snapshot
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inferred← citeshttps://doi.org/10.51415/10321/2723openalex-snapshot
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inferred← citeshttps://doi.org/10.5555/2675983.2675956openalex-snapshot
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inferred← citeshttps://doi.org/10.5802/ojmo.3openalex-snapshot
On the implementation of a global optimization method for mixed-variable problems
inferred← citeshttps://doi.org/10.5815/ijmecs.2013.12.02openalex-snapshot
Cuckoo Search Algorithm using Lèvy Flight: A Review
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