This study proposes a novel version of flower pollination algorithm (FPA) and it is called as
quick flower pollination algorithm (QFPA). Two important changes are carried out to improve …

Particle swarm optimization (PSO) originated from bird flocking models. It has become a
popular research field with many successful applications. In this paper, we present a …

Artificial bee colony algorithm (ABC) is a relatively new optimization technique which has
been shown to be competitive to other population-based algorithms. However, there is still …

Artificial bee colony (ABC) algorithm inspired by the complex behaviors of honey bees in
foraging is one of the most significant swarm intelligence-based meta-heuristics and has …

Recently, interest in solving real-world problems that change over the time, so called
dynamic optimisation problems (DOPs), has grown due to their practical applications. A DOP …

Abstract The Bees Algorithm (BA) is a bee swarm intelligence-based metaheuristic algorithm
that is inspired by the natural behavior of honeybees when foraging for food. BA can be …

Flower pollination algorithm (FPA) is a recent swarm-based evolutionary algorithm that was
inspired by the biological evolution of pollination of the flowers. It deals with a panmictic …

Particle swarm optimization (PSO) is one of the popular nature-inspired metaheuristic
algorithms. It has been used in different applications. The convergence analysis is among …