Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm
motivated by intelligent collective behavior of some animals such as flocks of birds or …

This paper presents an overview of the research progress in Particle Swarm Optimization
(PSO) during 1995–2017. Fifty two papers have been reviewed. They have been …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Surrogate models have shown to be effective in assisting metaheuristic algorithms for
solving computationally expensive complex optimization problems. The effectiveness of …

The paper provides an insight into the improved novel metaheuristics of the Firefly Algorithm
for constrained continuous optimization tasks. The presented technique is inspired by social …

Mixture of Gaussians is a widely used approach for background modeling to detect moving
objects from static cameras. Numerous improvements of the original method developed by …

Background modeling is currently used to detect moving objects in video acquired from
static cameras. Numerous statistical methods have been developed over the recent years …

In this paper we develop, analyze, and test a new algorithm for the global minimization of a
function subject to simple bounds without the use of derivatives. The underlying algorithm is …

Heuristic methods are used when rigorous ones are either unknown or cannot be applied,
typically because they would be too slow. A metaheuristic is a general optimization …

In this paper, different optimal hybrid techniques have been proposed for management of a
hybrid power generation system including photovoltaic (PV), fuel cell and battery. The main …