The artificial bee colony algorithm is a relatively new optimization technique. This paper
presents an improved artificial bee colony (IABC) algorithm for global optimization. Inspired by …

The artificial bee colony (ABC) algorithm is a relatively new optimization technique which has
been shown to be competitive to other population-based algorithms. However, there is still …

Multimodal optimization is one of the most challenging tasks for optimization. It requires an
algorithm to effectively locate multiple global and local optima, not just single optimum as in a …

The last few decades have witnessed an explosive growth of the Internet-of-Things (IoT)
systems, which provide ubiquitous sensing and computing services. When adopted in industrial …

Inspired by the intelligent foraging behavior of honey bees, the artificial bee colony algorithm
(ABC), a swarm-based stochastic optimization method, has shown to be very effective and …

The recent advances in microelectronics and communications have led to the development
of large-scale Internet of Things (IoT) networks, where tremendous sensory data is …

Artificial bee colony algorithm (ABC) is a relatively new optimization technique which has
been shown to be competitive to other population-based algorithms. However, there is still an …

The emergence of narrowband Internet of Things (NB-IoT) has brought hope for the popularization
and application of mobile Internet standards. Nowadays, NB-IoT technology has been …

Concerning this issue that the solution search equation of artificial bee colony algorithm (ABC)
does well in exploration but badly in exploitation, a bare bones ABC with parameter …

Multifactorial Optimization (MFO) has attracted considerable attention in the community of
evolutionary computation, which aims to deal with multiple optimization tasks simultaneously …