Titlebook: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management; Jorge Magalh?es-Mendes,David Greiner Book 201

慢慢流出

coltish

雄辯

On-line Metamodel-Assisted Optimization with Mixed Variables,e element analysis required by the complete design process. To achieve a significant reduction of this computational effort, a popular approach consists in substituting the high-fidelity simulation by a lower-fidelity regression model, also called a metamodel. However, most metamodels (like kriging,

莊嚴(yán)

amygdala

Jejune

魯莽

Lightweight Optimization for Additive Manufacturing Parts Based on Genetic Algorithms, Metamodels a. Few constraints in the manufacturing process involve a great design freedom, allowing minimization of weight by using internal cellular and lattice structures, while minimal mechanical requirements are kept. Weight minimization implies a lower use of material and hence a reduction in manufacturing

驚呼

Concerto

A Procedure for Improving the Acoustic Efficiency of Top-Edge Devices on Noise Barriers: An Applicaf the . of candidate profiles proposed by an evolutionary algorithm. The complexity normally associated with these devices raises the need to consider some geometric simplifications in order to ease the shape optimization processes. In this way, the overall barrier configuration is modeled as both t

脆弱帶來

https://doi.org/10.1007/978-3-642-72597-5e element analysis required by the complete design process. To achieve a significant reduction of this computational effort, a popular approach consists in substituting the high-fidelity simulation by a lower-fidelity regression model, also called a metamodel. However, most metamodels (like kriging,