Tailoring a deep convolutional neural network (CNN) for an implementation is a tedious and
time-consuming task especially in image identification. In this study, an optimization scheme …

Industrial Internet of Things (IIoT) ensures reliable and efficient data exchanges among the
industrial processes using artificial intelligence within the cyber–physical systems. In the IIoT …

An improved artificial bee colony algorithm (IABC) was proposed to solve the problems of
the k-means clustering (KMC) algorithm, such as poor global search ability, sensitive …

The nonlinear system of equations (NSE) is the basis of many engineering and scientific
models. However, these models must have accurate solutions to be successful. Several …

In this study, a novel 2D fully chaotic map (FULLMAP) derived through a multi-objective
optimization strategy with artificial bee colony (ABC) algorithm is introduced for image …

A novel optimal chaotic map (OCM) is proposed for image encryption scheme (IES). The
OCM is constructed using a multi-objective optimization strategy through artificial bee colony …

This research presents a study on the nano-carbon black (NCB) added ultra-weight foam
concrete by revealing its potential utilization of multi-layer microwave absorbing foam …

Artificial bee colony (ABC) and differential evolution (DE) are the most powerful and
operative meta-heuristic algorithms inspired by the nature. Although both algorithms are …

Chaotic map is a kind of discrete chaotic system. The existing chaotic maps suffer from
optimal parameters in terms of chaos measurements. In this study, a novel approach of …

Butterfly Optimization Algorithm (BOA) is a recent metaheuristics algorithm that mimics the
behavior of butterflies in mating and foraging. In this paper, three improved versions of BOA …