Mar 2, 2024 · In this paper, a fidelity-adaptive evolution optimization (FAEO) method is proposed to speed up the optimization process by using different nesting strategies at the appropriate optimization stages. In FAEO methods, two switching methods are designed to convert NSs.

Mar 10, 2014 · 2D irregular shape bin-cutting with heterogenous bins using evolutionary metaheuristics, Particle Swarm Optimization (PSO) and Differential Evolution (DEGL). In python, using shapely. www.youtube.com/watch?v=yEKS3tX4Wxg

Feb 26, 2016 · With the goal of discovering novel two-dimensional (2D) materials with unusual compositions and structures, we have developed a grand canonical evolutionary algorithm that searches the structure and composition space while constraining the thickness of the structures.

Nov 1, 2021 · An evolutionary algorithm was employed to automatically segment the input shape into quadrilateral meshes for computational fluid dynamics (CFD) simulation. Conventionally, the 2D layer segmentation requires human intervention.

Jan 1, 2021 · We present a simple yet effective method for structure prediction of two-dimensional structures. The method is based on a combination of neural networks and evolutionary techniques. It allows finding pristine 2D structures as well as structures grown on a substrate.

Mar 13, 2021 · Here, we present a novel method for studying the atomic structures of two-dimensional materials and epitaxial thin films on arbitrary substrates. The method can predict successful stages of epitaxial growth and the regions of stability of each atomic configuration with experimental parameters of interest.

With the goal of discovering novel two-dimensional (2D) materials with unusual compositions and structures, we have developed a grand canonical evolutionary algorithm that searches the structure and composition space while constraining the thickness of the structures.

Mar 1, 2024 · In this paper, a fidelity-adaptive evolution optimization (FAEO) method is proposed to speed up the optimization process by using different nesting strategies at the appropriate optimization...

Feb 6, 2024 · We propose a dual-population co-evolution algorithm based on clustering algorithm to optimize the segmentation method for better efficiency. Under the condition of satisfying all the constraints, the solutions obtained by the proposed algorithm achieve the balance of rewrite efficiency, coding efficiency and coding time.

Jan 1, 2013 · Our algorithm proposal to tackle this problem concerns an evolutionary algorithm that makes heavy use of a randomized one-pass heuristic for constructing solutions. The results of the proposed algorithm are compared to some of the best approaches from the literature.