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Metaheuristic vs. deterministic global optimization algorithms: The univariate case

Applied mathematics and computation, 2018-02, Vol.318, p.245-259

2018

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Numerical Computations: Theory and Algorithms: Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers, Part I

1st Edition 2020, 2020

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Globally-biased BIRECT algorithm with local accelerators for expensive global optimization

Expert systems with applications, 2020-04, Vol.144, p.113052, Article 113052

2020

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Deterministic Global Optimization: An Introduction to the Diagonal Approach

1, 2017

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Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework

Soft computing (Berlin, Germany), 2020-12, Vol.24 (23), p.17715-17735

2020

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On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales

Communications in nonlinear science & numerical simulation, 2018-06, Vol.59, p.319-330

2018

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A deterministic global optimization using smooth diagonal auxiliary functions

Communications in nonlinear science & numerical simulation, 2015-04, Vol.21 (1-3), p.99-111

2015

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A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization

IEEE transactions on evolutionary computation, 2022-12, Vol.26 (6), p.1261-1270

2022

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Deterministic approaches for solving practical black-box global optimization problems

Advances in engineering software (1992), 2015-02, Vol.80, p.58-66

2015

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Globally-biased Disimpl algorithm for expensive global optimization

Journal of global optimization, 2014-07, Vol.59 (2-3), p.545-567

2014

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Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization

Journal of optimization theory and applications, 2016-10, Vol.171 (1), p.186-208

2016

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Learning and Intelligent Optimization: 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers

1st Edition 2017, 2017

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Lipschitz gradients for global optimization in a one-point-based partitioning scheme

Journal of computational and applied mathematics, 2012-10, Vol.236 (16), p.4042-4054

2012

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Global Search Based on Efficient Diagonal Partitions and a Set of Lipschitz Constants

SIAM journal on optimization, 2006-01, Vol.16 (3), p.910-937

2006

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Numerical Computations -- Theory and Algorithms Part II: Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers

1st Edition 2020, 2020

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Numerical Computations: Theory and Algorithms : Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers

2020

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Numerical Computations: Theory and Algorithms : Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers

2020

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One-dimensional global search: Nature-inspired vs. Lipschitz methods

AIP Conference Proceedings, 2016, Vol.1738 (1)

2016

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Comments upon the usage of derivatives in Lipschitz global optimization

AIP Conference Proceedings, 2016, Vol.1738 (1)

2016

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On numerical methods for black-box constrained global optimization

AIP Conference Proceedings, 2024, Vol.3094 (1)

2024

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Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms

Mathematics and computers in simulation, 2017-11, Vol.141, p.96-109

2017

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Possible extensions to the DIRECT global optimization algorithm based on space-filling and diagonal curves

AIP Conference Proceedings, 2023, Vol.2849 (1)

2023

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Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives

Journal of computational and applied mathematics, 2021-02, Vol.383, p.113134, Article 113134

2021

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Optimizing Rainwater Harvesting Systems for Non-potable Water Uses and Surface Runoff Mitigation

Numerical Computations: Theory and Algorithms, p.570-582

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Numerical Computations: Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers, Part I

1, 2020

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Metaheuristic vs. deterministic global optimization algorithms: The univariate case

Numerical Computations: Theory and Algorithms: Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers, Part I

Globally-biased BIRECT algorithm with local accelerators for expensive global optimization

Deterministic Global Optimization: An Introduction to the Diagonal Approach

Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework

On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales

A deterministic global optimization using smooth diagonal auxiliary functions

A Generator of Multiextremal Test Classes With Known Solutions for Black-Box-Constrained Global Optimization

Deterministic approaches for solving practical black-box global optimization problems

Globally-biased Disimpl algorithm for expensive global optimization

Derivative-Free Local Tuning and Local Improvement Techniques Embedded in the Univariate Global Optimization

Learning and Intelligent Optimization: 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers

Lipschitz gradients for global optimization in a one-point-based partitioning scheme

Global Search Based on Efficient Diagonal Partitions and a Set of Lipschitz Constants

Numerical Computations -- Theory and Algorithms Part II: Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers

Numerical Computations: Theory and Algorithms : Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers

Numerical Computations: Theory and Algorithms : Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers

One-dimensional global search: Nature-inspired vs. Lipschitz methods

Comments upon the usage of derivatives in Lipschitz global optimization

On numerical methods for black-box constrained global optimization

Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms

Possible extensions to the DIRECT global optimization algorithm based on space-filling and diagonal curves

Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives

Optimizing Rainwater Harvesting Systems for Non-potable Water Uses and Surface Runoff Mitigation

Numerical Computations: Third International Conference, NUMTA 2019, Crotone, Italy, June 15-21, 2019, Revised Selected Papers, Part I

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