Titlebook: Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu; Esther Andrés-Pérez,Leo M. González,

raff淫雨霏霏

書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu影響因子(影響力)




書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu影響因子(影響力)學(xué)科排名




書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu網(wǎng)絡(luò)公開度




書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu被引頻次




書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu被引頻次學(xué)科排名




書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu年度引用




書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu年度引用學(xué)科排名




書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu讀者反饋




書目名稱Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu讀者反饋學(xué)科排名

巨頭

Adjoint Shape Optimisation Using Model Boundary Representationed to define the geometry of a model is often integral to the efficiency of the design. However, it is not always possible to access these parameters due to the closed-source, non-standardized nature of most CAD software. A sensible choice, is to use standard CAD files which have an open format, in

Inveterate

cardiovascular

行業(yè)

Node-Based Adjoint Surface Optimization of U-Bend Duct for?Pressure Loss Reduction gas turbines. The optimization technique proposed in the present work is based on the continuous adjoint shape method and is implemented in the OpenFOAM open-source framework. The calculated gradients of the objective function are linked to a node-based constrained morphing routine, allowing the mo

Evolve

Finite Transformation Rigid Motion Mesh Morphert each optimization cycle. Morphing has its share of challenges, namely to maintain high mesh quality (avoid distorted elements and tangles) even during extreme deformations. In this work, the Finite Transformation Rigid Motion Mesh Morpher (FT–R3M) is presented, an improved version of the Rigid Mot

Evolve

guardianship

船員

CYN

A Comparative Evaluation of Surrogate Models for Transonic Wing Shape Optimizationing, Radial Basis Function Network (RBFN) and Proper Orthogonal Decomposition in combination with RBFNs (POD+RBFN) are employed as fitness function evaluators within the framework of evolutionary algorithms (EAs). The surrogate-assisted optimization consists of initializing the surrogate with space-