D Tian, Z Shi - Swarm and evolutionary computation, 2018 - Elsevier
Particle swarm optimization (PSO) is a population based meta-heuristic search algorithm that has been widely applied to a variety of problems since its advent. In PSO, the inertial …
Zn (II) is one the common pollutant among heavy metals found in industrial effluents. Removal of pollutant from industrial effluents can be accomplished by various techniques …
Particle swarm optimization (PSO) algorithm is generally improved by adaptively adjusting the inertia weight or combining with other evolution algorithms. However, in most modified …
Y Chen, L Li, H Peng, J Xiao, Y Yang, Y Shi - Applied Soft Computing, 2017 - Elsevier
In this article, a particle swarm optimization algorithm with two differential mutation (PSOTD) is proposed. In PSOTD, a novel structure with two swarms and two layers (bottom layer and …
S Ghude, C Chowdhury - Chemistry–A European Journal, 2023 - Wiley Online Library
Abstract Metal‐organic Frameworks (MOFs) can be employed for gas storage, capture, and sensing. Finding the MOF with the best adsorption property from a large database is usual …
One of the major drawbacks of the global particle swarm optimization (GPSO) algorithm is zigzagging of the direction of search that leads to premature convergence by falling into …
M He, M Liu, R Wang, X Jiang, B Liu, H Zhou - Applied Soft Computing, 2019 - Elsevier
A novel variant of particle swarm optimization with damping factor and cooperation mechanism (PSO-DFCM) to search the global optima in a large scale and high-dimensional …
Particle swarm optimization (PSO) algorithm has been successfully applied to solve various optimization problems in science and engineering. One such popular one is called global …
AP Piotrowski, JJ Napiorkowski - Journal of Hydrology, 2018 - Elsevier
A number of physical or data-driven models have been proposed to evaluate stream water temperatures based on hydrological and meteorological observations. However, physical …