Delaunay-based derivative-free optimization via global surrogates. Part III: nonconvex constraints
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Global Optimization"
DOI: 10.1007/s10898-019-00854-2
Abstract: This paper introduces a Delaunay-based derivative-free optimization algorithm, dubbed $$\varDelta $$ Δ -DOGS( $$\varOmega $$ Ω ), for problems with both (a) a nonconvex, computationally expensive objective function f ( x ), and (b) nonlinear,… read more here.
Keywords: derivative free; delaunay based; based derivative; optimization ... See more keywords
A Discussion on Variational Analysis in Derivative-Free Optimization
Sign Up to like & getrecommendations! Published in 2020 at "Set-valued and Variational Analysis"
DOI: 10.1007/s11228-020-00556-y
Abstract: Variational Analysis studies mathematical objects under small variations. With regards to optimization, these objects are typified by representations of first-order or second-order information (gradients, subgradients, Hessians, etc). On the other hand, Derivative-Free Optimization studies algorithms… read more here.
Keywords: free optimization; discussion variational; variational analysis; derivative free ... See more keywords
Derivative-free optimization for chemical product design
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DOI: 10.1016/j.coche.2019.11.006
Abstract: This paper motivates and guides the use of derivative-free optimization methods to solve chemical product design problems. The proposed methodology incorporates derivative-free optimization into computer-aided molecular design frameworks. Doing so facilitates the exploitation of property… read more here.
Keywords: free optimization; derivative free; chemical product; design ... See more keywords
Wavelength Tunable Matched-Pair Vernier Multi-Ring Filters Using Derivative-Free Optimization Algorithms
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Quantum Electronics"
DOI: 10.1109/jstqe.2020.2975644
Abstract: We demonstrate matched pairs of multi-ring Vernier filters that mutually suppress the out-of-band resonances resulting from the Vernier effect to increase the free-spectral range (FSR) while achieving high out-of-band extinction ratio. These filters can be… read more here.
Keywords: wavelength tunable; free optimization; tunable matched; derivative free ... See more keywords
PGO-LIOM: Tightly Coupled LiDAR-Inertial Odometry and Mapping via Parallel and Gradient-Free Optimization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3229329
Abstract: Real-time localization and mapping for micro aerial vehicles (MAV) is a challenging problem, due to the limitation of the onboard computational power. In this article, a tightly coupled light detection and ranging (LiDAR)-inertial odometry is… read more here.
Keywords: lidar inertial; gradient free; inertial odometry; free optimization ... See more keywords
A Hybrid Direct Search and Model-Based Derivative-Free Optimization Method with Dynamic Decision Processing and Application in Solid-Tank Design
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DOI: 10.3390/a16020092
Abstract: A derivative-free optimization (DFO) method is an optimization method that does not make use of derivative information in order to find the optimal solution. It is advantageous for solving real-world problems in which the only… read more here.
Keywords: optimization method; method; search; derivative free ... See more keywords
High-dimensional normalized data profiles for testing derivative-free optimization algorithms
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.960
Abstract: This article provides a new tool for examining the efficiency and robustness of derivative-free optimization algorithms based on high-dimensional normalized data profiles that test a variety of performance metrics. Unlike the traditional data profiles that… read more here.
Keywords: data profiles; optimization algorithms; high dimensional; derivative free ... See more keywords