Abstract Particle Swarm Optimization (PSO) is among the most universally applied
population-based metaheuristic optimization algorithms. PSO has been successfully used in …

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 …

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 …

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 …

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 …

A number of physical or data-driven models have been proposed to evaluate stream water
temperatures based on hydrological and meteorological observations. However, physical …