Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in
solving combinatorial and NP-hard optimization problems in various research fields …

Artificial bee colony (ABC) is a recently proposed optimization technique which has shown
to be competitive to other population-based stochastic algorithms. However, ABC is good at …

Some real-world optimization problems are plagued by a limited hardware availability. This
situation can occur, for example, when the optimization must be performed on a device …

Artificial bee colony (ABC) algorithm developed by Karaboga is a nature inspired
metaheuristic based on honey bee foraging behavior. It was successfully applied to …

Spiking neural P systems (SN P systems) are a new class of computing models inspired by
the neurophysiological behavior of biological spiking neurons. In order to make SN P …

This paper proposes the optimization of the type-2 membership functions for the average
approximation of an interval of type-2 fuzzy controller (AT2-FLC) using PSO, where the …

Background Hyperspectral imaging is an emerging means of assessing plant vitality, stress
parameters, nutrition status, and diseases. Extraction of target values from the high …

This article presents an improved version of Fractional Order Darwinian PSO (IFODPSO) for
segmenting 3D histogram-based color images at multiple levels of Berkley Segmentation …

Particle swarm optimization (PSO) is recent approach that can be employed in a wide range
of applications. It is an evolutionary computing method based on colony aptitude which is a …

This paper presents the hybrid approach of two nature inspired metaheuristic algorithms;
Cuckoo Search (CS) and Particle Swarm Optimization (PSO) for solving optimization …