Results 11 to 20 of about 62,722 (247)
ZOOpt: a toolbox for derivative-free optimization
Science China Information Sciences, 2022 SCIENCE CHINA Information Sciences, 2022.
Liu, Yu-Ren +4 more
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Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches
Mathematics, 2020 The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems.
Riccardo Pellegrini +5 more
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Two decades of blackbox optimization applications
EURO Journal on Computational Optimization, 2021 This article reviews blackbox optimization applications of direct search optimization methods over the past twenty years. Emphasis is placed on the Mesh Adaptive Direct Search (Mads) derivative-free optimization algorithm.
Stéphane Alarie +4 more
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On the implementation of a global optimization method for mixed-variable problems
Open Journal of Mathematical Optimization, 2021 We describe the optimization algorithm implemented in the open-source derivative-free solver RBFOpt. The algorithm is based on the radial basis function method of Gutmann and the metric stochastic response surface method of Regis and Shoemaker.
Nannicini, Giacomo
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Mathematics, 2022 This article considers a box-constrained global optimization problem for Lipschitz continuous functions with an unknown Lipschitz constant. The well-known derivative-free global search algorithm DIRECT (DIvide RECTangle) is a promising approach for such ...
Linas Stripinis, Remigijus Paulavičius
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Derivative-free optimization for optical chirality enhancement [PDF]
EPJ Web of ConferencesWe adopt a multi-objective optimization approach to design one-dimensional photonic crystals with large optical chirality enhancements. We show that this technique allows for a large design flexibility in terms of selected materials and operational ...
Pellegrini Giovanni +5 more
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Journal of Inequalities and Applications, 2018 This paper focuses on a class of nonlinear optimization subject to linear inequality constraints with unavailable-derivative objective functions. We propose a derivative-free trust-region methods with interior backtracking technique for this optimization.
Jing Gao, Jian Cao
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A fire spread simulator to support tactical management decisions for Mediterranean landscapes
Frontiers in Forests and Global Change, 2023 The use of fire simulation tools has become a regular feature of support systems for fuel management decisions at landscape level. Considering the spatial nature of fire in the evaluation of risk and the definition of fire mitigation goals is an ongoing ...
Jose Ramon Gonzalez-Olabarria +12 more
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Life, 2021 Integrative modeling of macromolecular assemblies requires stochastic sampling, for example, via MCMC (Markov Chain Monte Carlo), since exhaustively enumerating all structural degrees of freedom is infeasible.
Satwik Pasani, Shruthi Viswanath
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Randomized Simplicial Hessian Update
Mathematics, 2021 Recently, a derivative-free optimization algorithm was proposed that utilizes a minimum Frobenius norm (MFN) Hessian update for estimating the second derivative information, which in turn is used for accelerating the search.
Árpád Bűrmen +2 more
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