Articles with "free optimization" as a keyword



Photo by miguelherc96 from unsplash

Delaunay-based derivative-free optimization via global surrogates. Part III: nonconvex constraints

Sign Up to like & get
recommendations!
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
Photo by dawson2406 from unsplash

A Discussion on Variational Analysis in Derivative-Free Optimization

Sign Up to like & get
recommendations!
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
Photo by rachitank from unsplash

Derivative-free optimization for chemical product design

Sign Up to like & get
recommendations!
Published in 2020 at "Current opinion in chemical engineering"

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
Photo by miguelherc96 from unsplash

Wavelength Tunable Matched-Pair Vernier Multi-Ring Filters Using Derivative-Free Optimization Algorithms

Sign Up to like & get
recommendations!
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
Photo by codioful from unsplash

PGO-LIOM: Tightly Coupled LiDAR-Inertial Odometry and Mapping via Parallel and Gradient-Free Optimization

Sign Up to like & get
recommendations!
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
Photo from wikipedia

A Hybrid Direct Search and Model-Based Derivative-Free Optimization Method with Dynamic Decision Processing and Application in Solid-Tank Design

Sign Up to like & get
recommendations!
Published in 2023 at "Algorithms"

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
Photo by campaign_creators from unsplash

High-dimensional normalized data profiles for testing derivative-free optimization algorithms

Sign Up to like & get
recommendations!
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