Yu-Wei Wu

TL;DR: The results of applying the BIM-based system demonstrate that it may effectively provide 3D visualization to support the assessment and planning of fire safety, to provide early detection and alarm responses, to direct efficient evacuation, and to facilitate fire rescue and control efforts in order to increase overall building safety and disaster-response capabilities.

TL;DR: This Hybrid Harmony Search (HHS) algorithm follows a new approach to improvisation: while retaining HS algorithm Harmony Memory and pitch adjustment functions, it replaces the HS algorithm randomization function with Global-best Particle Swarm Optimization (PSO) search and neighbourhood search.

TL;DR: Validation results show that the EFSIMT achieves higher performance in comparison with Support Vector Machines and obtains results comparable with Back-Propagation Neural Network (BPN) and offers strong potential as a valuable predictive tool for HPC compressive strength.

TL;DR: This study proposes an optimized hybrid artificial intelligence model to integrate a fast messy genetic algorithm (fmGA) with a support vector machine (SVM) that achieves better cross-fold prediction accuracy compared to other baseline models and previous works.

TL;DR: This study applies a serial method to reflect individual-user priorities into the active schedule and the project duration calculations to develop the Fuzzy Clustering Chaotic-based Differential Evolution algorithm, an innovative approach to solving complex optimization problems.