A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting ...

A weighted multi-objective function is also constructed. Additionally, a Group Merging Particle Swarm Optimization Algorithm (GMPSO) is proposed, incorporating the concept of splitting and ...

Morningstar Quantitative Ratings for Stocks are generated using an algorithm that compares companies that are not under analyst coverage to peer companies that do receive analyst-driven ratings.

Abstract: Particle swarm optimization (PSO) is a type of swarm intelligence algorithm that is frequently used to resolve specific global optimization problems due to its rapid convergence and ease of ...

However, our research extends this framework by integrating the predictive model with a particle swarm optimization stage. This second stage identifies the optimal operational parameters that can be ...

1. We have improved the inertial weight and learning factors in conventional particle swarm optimization algorithms through dynamic adjustment mechanisms to enhance global search capability. 2. The ...

This Python module implements hyperparameter optimization using Particle Swarm Optimization (PSO) for various machine learning algorithms in classification task. PSO is a population-based optimization ...

This project utilizes Particle Swarm Optimization (PSO) to optimize the parameters of thermal detection systems. The goal is to enhance the detection of thermal patterns, improving the accuracy of ...

Research Institute of Frontier Science, Southwest Jiaotong University, Chengdu 610031, China School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China Research Institute ...

However, the integration of optimization algorithms and computer software has significantly reduced the research and development cycle. The internal structure of traditional straight-beam-rib wings is ...