Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired
by the collective behavior of social animals. In particle swarm optimization (PSO) the set of …

The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological
behaviour of bird flocks searching for food sources. In this nature-based algorithm …

Optimization in computationally expensive numerical problems with limited function
evaluations provides computational advantages over constraints based on runtime …

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 …

Support vector machine (SVM) is considered to be one of the most powerful learning
algorithms and is used for a wide range of real-world applications. The efficiency of SVM …

Starling murmuration optimizer is a newly well-developed swarm intelligence algorithm
inspired by the behavior of starlings during stunning murmuration and has performed …

Particle Swarm Optimization is a popular heuristic search algorithm which is inspired by the
social learning of birds or fishes. It is a swarm intelligence technique for optimization …

Particle swarm optimization (PSO) is a popular heuristic method, which is capable of
effectively dealing with various optimization problems. A detailed overview of the original …

Nowadays, particle swarm optimisation (PSO) is one of the most commonly used
optimisation techniques. However, PSO parameters significantly affect its computational …

Detecting spam profiles is considered as one of the most challenging issues in online social
networks. The reason is that these profiles are not just a source for unwanted or bad …