As an NP-hard problem, feature selection often utilizes nature-inspired methods, like the genetic algorithm (GA), to find the partly optimal solution but still suffers from the computational ...

In this paper, a new hybrid algorithm, GA-HIDMS-PSO, is introduced by hybridising the state-of-the-art particle swarm optimisation (PSO) variant, the heterogeneous improved dynamic multi-swarm PSO ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

Factory Layout Optimizer uses a genetic algorithm to enhance production efficiency by optimizing the arrangement of manufacturing equipment. This tool aims to streamline workflows and reduce material ...

This repository provides the SeAn-CP method, a semi-analytical algorithm for efficiently calculating critical plane factors in fatigue analysis. Compatible with finite element analysis, it handles ...