A supply chain is a complex stochastic adaptive system featuring dynamics, uncertainty, and
partial information sharing. Though agent-based discrete event simulation is a more efficient …

This paper presents a new biologically-inspired binary real coded firefly (BRCFF) algorithm
to solve the unit commitment problem (UCP) by considering system and generating unit …

In this study, a hybrid support vector machine–firefly optimization algorithm (SVM-FFA)
model is proposed to estimate monthly mean horizontal global solar radiation (HGSR). The …

The artificial bee colony (ABC) algorithm, a relatively new swarm intelligence optimization
technique, has been shown to be a competitive alternative to other population-based …

Internet of Things is based on the identification of real-world objects in a unique way that
interconnects them by means of communication interfaces. Such a simple idea allows the …

This paper suggests integrating a unification factor into particle swarm optimization (PSO) to
balance the effects of cognitive and social terms. The resultant unified particle swarm (UPS) …

The well-known optimization approach teaching-learning-based optimization (TLBO) is
modified by using a confined TLBO (CTLBO) to eliminate the teaching factor. Different …

A new hybrid approach by integrating the support vector machine (SVM) with firefly
algorithm (FFA) is proposed to estimate shape (k) and scale (c) parameters of the Weibull …

Albeit synchronous behavior of some fireflies species is one of the paradigmatic examples of
synchronization, there are not many efforts to model in a realistic way this astounding …

In this research work, a hybrid approach of integrating a support vector machine (SVM) with
firefly algorithm (FFA) is proposed to predict daily dewpoint temperature (T dew). The main …