Metaheuristic algorithms are computational intelligence paradigms especially used for
sophisticated solving optimization problems. This chapter aims to review of all …

Featured Application The paper analyzes the usage and mechanisms of feature selection
methods that are based on swarm intelligence in different application areas. Abstract The …

In this article, smart home energy management is proposed using real-time pricing (RTP)
based demand response for effective utilization of renewable-based distributed generation …

Feature selection (FS) is an important preprocessing technique for dimensionality reduction
in classification problems. Particle swarm optimization (PSO) algorithms have been widely …

In classification, feature selection is an important data pre-processing technique, but it is a
difficult problem due mainly to the large search space. Particle swarm optimisation (PSO) is …

Swarm intelligence is a kind of artificial intelligence that is based on the collective behavior
of the decentralized and self-organized systems. This work focuses on reviewing a heuristic …

In this paper, a feature selection (FS) method is proposed to identify key quality features
(KQFs) in complex manufacturing processes. We propose a multi-objective binary particle …

With the increasing size of wind farms, the impact of the wake effect on wind farm energy
yields become more and more evident. The arrangement of locations of the wind turbines …

As more people utilize the cloud, more employment opportunities become available. With
constraints such as a limited make-span, a high utilization rate of available resources …

With the increasing large number of cloud users, the number of tasks is growing
exponentially. Scheduling and balancing these tasks amongst different heterogeneous …