.... Conventional fixed-limit or static fuzzy-control methods cannot effectively balance safety and throughput when multiple disturbances occur simultaneously. Design/methodology/approach Therefore, this research develops a dynamic-inertia fuzzy control with particle swarm optimization framework to realize self...

...Orhan Ali Nooruldeen; Shahram Azizifar; Ahmed Ghareeb; Ali Hussein Abdulkarim; Mohamed M. Awad Purpose To develop a hybrid machine-learning framework that integrates a Physics-Informed Neural Network (PINN) with Particle Swarm Optimization (PSO)–tuned regression models to deliver fast, accurate...

..., particle swarm optimization algorithm is proposed, and the multi-objective particle swarm optimization algorithm is used to solve multi-objective optimization problems. However, the particles of particle swarm optimization algorithm are easy to fall into local optimization because of their fast convergence...

... be contacted at: gayatrinayak@soa.ac.in 16 04 2019 03 07 2019 25 07 2019 © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only Particle swarm optimization Concolic testing MC/DC Test suite prioritization Test suite prioritization...

... at: kechmanelaila@gmail.com 06 03 2017 01 04 2017 16 06 2017 12 07 2017 02 08 2017 20 11 2017 © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Particle swarm optimization Variable neighbourhood search Capacitated location...

...Jehad Ababneh Purpose – The purpose of this paper is to propose an algorithm that combines the particle swarm optimization (PSO) with the biogeography-based optimization (BBO) algorithm. Design/methodology/approach – The BBO and the PSO algorithms are jointly used in to order to combine...