This repository contains the implementation of a Multistage Hybrid Optimization Algorithm combining Moth-Flame Optimization (MFO), Particle Swarm Optimization (PSO), and Salp Swarm Algorithm (SSA) for ...

PSO algorithm is easy to operate and to realize, and it has got many scholars' attention once proposed. In recent years there has appeared many improved PSO algorithm, but it cann't get the global ...

Researchers introduced the NDWPSO algorithm, enhancing PSO's performance for engineering optimization. Integrating various strategies like dynamic inertia weight, adaptive acceleration coefficients, ...

Traditional mathematical modeling and programming rely on the quality and accuracy of input data. If the data is incorrect or uncertain, it can have a significant impact on the results of the model.

In order to improve the performance of Particle Swarm Optimization (PSO) algorithm in solving continuous function optimization problems, a chaotic particle optimization algorithm for complex functions ...

Hybrid RSA-PSO was tested on over 30 benchmark functions (CEC2014, CEC2017, etc.) and several real-world engineering design problems such as pressure vessel and gear train optimization. The results ...

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the met ...