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This work proposes a framework of benchmark functions designed to facilitate the creation of test cases for numerical optimisation techniques.
“An analysis of the behavior of a class of genetic adaptive systems.”
Kenneth De · 1975
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“Numerical optimization of computer models”
Hans-Paul Schwefel · 1981
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“The MINPACK-2 test problem collection (preliminary version)”, 1991
Brett Averick, Richard Carter and Jorge Moré · 1991
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“No free lunch theorems for optimization”
David Wolpert and William Macready · 1997
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“CAEP: An evolution-based tool for real-valued function optimization using cultural algorithms”
Chan-Jin Chung and Robert Reynolds · 1998
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“A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems”
M Ali, Charoenchai Khompatraporn and Zelda Zabinsky · 2005
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“Mvf - multivariate test functions library in c for unconstrained global optimization”
Ernesto Adorio and U Diliman · 2005
Earlier work this paper cites.
“Test functions for optimization needs”
Molga Marcin and Smutnicki Czesław · 2005
Cited alongside, same era.
“Some new test functions for global optimization and performance of repulsive particle swarm method”
Sudhanshu Mishra · 2006
Cited alongside, same era.
“Examples of objective functions”
Pohlheim Hartmut · 2012
Cited alongside, same era.
“A connectionist machine for genetic hillclimbing”
David Ackley · 2012
Cited alongside, same era.
“A literature survey of benchmark functions for global optimisation problems”
Momin Jamil and Xin-She Yang · 2013
Cited alongside, same era.
“A benchmark of kriging-based infill criteria for noisy optimization”
Picheny Victor, Wagner Tobias and Ginsbourger David · 2013
Cited alongside, same era.
“Benchmarking and comparison of nature-inspired population-based continuous optimisation algorithms”
Duc Pham and Marco Castellani · 2014
Later among the works it cites.
“A comparative study of the Bees Algorithm as a tool for function optimisation”
Duc Pham and Marco Castellani · 2015
Later among the works it cites.
“CUTEst: a constrained and unconstrained testing environment with safe threads for mathematical optimization”
Nicholas Gould, Dominique Orban and Philippe Toint · 2015
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“Implementation and verification of global optimization benchmark problems”
Mikhail Posypkin and Alexander Usov · 2017
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“Certified global minima for a benchmark of difficult optimization problems”
Vanaret Charlie, Gotteland Jean-Baptiste, Durand Nicolas and Alliot Jean-Marc · 2020
Later among the works it cites.
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“Optimization theory, methods, and applications in engineering 2013”
Jung-Fa Tsai et al · 2014
Cited alongside, same era.
“An analysis of the search mechanisms of the bees algorithm”
Luca Baronti, Marco Castellani and Duc Pham · 2020
Later among the works it cites.