Metamodeling for high dimensional design problems by multi-fidelity simulations
Sign Up to like & getrecommendations! Published in 2017 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-017-1655-y
Abstract: Multi-fidelity metamodeling provides an efficient way to approximate expensive black-box problems by utilizing the samples of multiple fidelities. While it still faces the challenge of “curse-of-dimensionality” when used in approximating high dimensional problems. On the… read more here.
Keywords: high dimensional; fidelity; dimensional problems; multi fidelity ... See more keywords
Exact Solutions in Optimal Design Problems for Stationary Diffusion Equation
Sign Up to like & getrecommendations! Published in 2018 at "Acta Applicandae Mathematicae"
DOI: 10.1007/s10440-018-0204-z
Abstract: We consider two-phase multiple state optimal design problems for stationary diffusion equation. Both phases are taken to be isotropic, and the goal is to find the optimal distribution of materials within domain, with prescribed amounts,… read more here.
Keywords: problems stationary; stationary diffusion; diffusion equation; optimal design ... See more keywords
Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10716-3
Abstract: Numerical optimization, Unmanned Aerial Vehicle (UAV) path planning, and engineering design problems are fundamental to the development of artificial intelligence. Traditional methods show limitations in dealing with these complex nonlinear models. To address these challenges,… read more here.
Keywords: path planning; billed blue; engineering design; design problems ... See more keywords
A speciation-based bilevel niching method for multimodal truss design problems
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-021-00818-x
Abstract: Truss design is a well-known structural optimization problem that has important practical applications in various fields. Truss design problems are typically multimodal by nature, meaning that it offers multiple optimal solutions concerning the topology (combinatorial… read more here.
Keywords: truss design; design; topology; optimization ... See more keywords
On the Convergence of a Class of Nonlocal Elliptic Equations and Related Optimal Design Problems
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-016-1021-z
Abstract: A convergence result for a nonlocal differential equation problem is proved. As a by-product, some results about the convergence for a type of nonlocal optimal design are given. Since these problems give rise to local… read more here.
Keywords: design; convergence class; nonlocal elliptic; class nonlocal ... See more keywords
Designing optimal mixtures using generalized disjunctive programming: Hull relaxations
Sign Up to like & getrecommendations! Published in 2017 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2016.08.008
Abstract: Abstract A general modeling framework for mixture design problems, which integrates Generalized Disjunctive Programming (GDP) into the Computer-Aided Mixture/blend Design (CAM b D) framework, was recently proposed (S. Jonuzaj, P.T. Akula, P.-M. Kleniati, C.S. Adjiman,… read more here.
Keywords: generalized disjunctive; mixture design; design; disjunctive programming ... See more keywords
Inverse deep learning methods and benchmarks for artificial electromagnetic material design
Sign Up to like & getrecommendations! Published in 2022 at "Nanoscale"
DOI: 10.1039/d1nr08346e
Abstract: In this work we investigate the use of deep inverse models (DIMs) for designing artificial electromagnetic materials (AEMs) - such as metamaterials, photonic crystals, and plasmonics - to achieve some desired scattering properties (e.g., transmission… read more here.
Keywords: deep neural; deep learning; design problems; artificial electromagnetic ... See more keywords
Euler optimizer: a novel metaheuristic algorithm for 3D UAV path planning and engineering design problems
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ae1b28
Abstract: Three-dimensional (3D) path planning for unmanned aerial vehicles (UAVs) and real-world engineering design problems has been a hot research issue. Traditional methods show limitations in dealing with these complex nonlinear models. To overcome these challenges,… read more here.
Keywords: engineering design; engineering; design problems; path planning ... See more keywords
Many photonic design problems are sparse QCQPs
Sign Up to like & getrecommendations! Published in 2025 at "Science Advances"
DOI: 10.1126/sciadv.adl3237
Abstract: Photonic design is a process of mathematical optimization of a desired objective (beam formation, mode conversion, etc.) subject to the constraint of Maxwell’s equations. Finding the optimal design is challenging: Generically, these problems are highly… read more here.
Keywords: many photonic; photonic design; sparse qcqps; design problems ... See more keywords
Hybrid teaching-learning with comprehensive learning capability for electromagnetic device design problems
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture"
DOI: 10.1177/09544054221102245
Abstract: Many optimal design problems in the engineering field are nonlinear, multivariate, mixed integer, multimodal, and constrained. Meta-heuristic approaches have been widely used to solve these complex problems, but most of them are often sensitive to… read more here.
Keywords: benchmark functions; teaching learning; design problems; hybrid teaching ... See more keywords
Relationships between design problem agglomerations and concerns having types and domains of software as transverse dimensions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Brazilian Computer Society"
DOI: 10.1186/s13173-020-00099-y
Abstract: Context Design problems have been recognized as one of the main causes behind the loss of software systems’ quality. Agglomerated design problems impact the quality even more. So, organizing and analyzing the relationship between design… read more here.
Keywords: transverse dimensions; design; domains software; problem ... See more keywords