This paper reviews the existing models, connection schemes and maximum power point
tracking (MPPT) methods of PV arrays. The partial shading causes significant power losses …

In this study, we found that engineering experience can be used to determine the
parameters of an optimization algorithm. We came to this conclusion by analyzing the …

Swarm intelligence (SI) is concerned with the collective behaviour that emerges from
decentralised self-organising systems, whilst swarm robotics (SR) is an approach to the self …

In this paper, a novel enhanced Particle Swarm Optimization (PSO) algorithm is introduced
for solving damage identification problems. For the first time, the algorithm is applied to a …

Nature-inspired computing has yielded remarkable applications of collective intelligence
which considers simple elements for solving complex tasks by common interaction. On the …

Particle swarm optimization (PSO) is a popular nature-inspired meta-heuristic for solving
continuous optimization problems. Although this technique is widely used, up to now only …

Particle swarm optimization (PSO) is a population-based optimization technique that can be
applied to a wide range of problems. Here, we first investigate the behavior of particles in the …

Swarm-based algorithms have acquired an important role in solving real-world optimization
problems. In this paper, Kinetic Gas Molecule Optimization (KGMO), an optimization …

Hough transform has been the most common method for circle detection, exhibiting
robustness, but adversely demanding considerable computational effort and large memory …

Since many PSO variants are easily trapped in local optima from which they can barely
break free, this paper proposes an adaptive hierarchical update particle swarm optimization …