A new initialization approach in particle swarm optimization for global optimization problems

WH Bangyal, A Hameed, W Alosaimi… - Computational …, 2021 - Wiley Online Library
Particle swarm optimization (PSO) algorithm is a population‐based intelligent stochastic
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …

Research on image classification method of strip steel surface defects based on improved Bat algorithm optimized BP neural network

X Yue, G Ma, F Liu, X Gao - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
Due to the complexity and variety of textures on Strip steel, it is very difficult to detect defects
on rigid surfaces. This paper proposes a metal surface defect classification method based …

Population Initialization of Seagull Optimization Algorithm with Pseudo Random Numbers for Continous Optimization

S Pervaiz, WH Bangyal, K Nisar… - … on Frontiers of …, 2021 - ieeexplore.ieee.org
This study is presenting a new nature-inspired algorithm termed as Seagull Optimization
(SOA) to decipher the complex computational problems. The major concern of this approach …

Copy-move forgery detection using a bat algorithm with mutation

E Amiri, A Mosallanejad… - International Journal of …, 2021 - ijnaa.semnan.ac.ir
One of the challenges today is capturing fake images. One type of image forgery is a copy-
move forgery. In this method, a part of the image is copy and placed at the most similar point …

[PDF][PDF] Research Article A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems

WH Bangyal, A Hameed, W Alosaimi, H Alyami - 2021 - academia.edu
Particle swarm optimization (PSO) algorithm is a population-based intelligent stochastic
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …