The number of publications related to airside operation research is increasing and gaining
in popularity. This paper aims to provide researchers with a comprehensive and extensive …

Nowadays, a promising way to obtain hybrid metaheuristics concerns the combination of
several search algorithms with strong specialization in intensification and/or diversification …

This paper focuses on the design of a real-time particle-swarm-optimization-based
proportional-integral-differential (PSO-PID) control scheme for the levitated balancing and …

In order to operate a solar photovoltaic (PV) system at its maximum power point (MPP) under
numerous weather conditions, it is necessary to achieve uninterrupted optimal power …

This paper presents a novel compliant parallel XY micromotion stage driven by piezoelectric
actuators (PZT). With the purpose to obtain complete kinematic decoupling and good …

In this paper, we present an enhanced parallel cat swarm optimization (EPCSO) method for
solving numerical optimization problems. The parallel cat swarm optimization (PCSO) …

Particle swarm optimization (PSO) is a global metaheuristic that has been proved to be very
powerful for optimizing a wide range of problems. However, PSO requires a large number of …

In this paper, we propose two novel techniques, which successfully address several major
problems in the field of particle swarm optimization (PSO) and promise a significant …

This paper proposes the design of fuzzy-rule-based systems using continuous ant-colony
optimization (RCACO). RCACO determines the number of fuzzy rules and optimizes all the …

Although the particle swarm optimization (PSO) algorithm has been widely used to solve
many real world problems, it is likely to suffer entrapment in local optima when addressing …