Cooperative networks integrating non-orthogonal multiple access (NOMA) and simultaneous wireless information power transfer (SWIPT) are emerging technologies that have been investigated as potential techniques to support the proliferation of Internet Things (IoT) obtain greener communications. In this sense, optimization resource allocation schemes is crucial improve performance future cooperat...

This paper presents a new multi-objective optimization algorithm in which multi-swarm cooperative strategy is incorporated into particle swarm optimization algorithm, called multi-swarm cooperative multi-objective particle swarm optimizer (MC-MOPSO). This algorithm consists of multiple slave swarms and one master swarm. Each slave swarm is designed to optimize one objective function of the mult...

Data mining technology has emerged as a means of discovering hidden patterns and trends among large volumes of data and thus it can be considered as an important step in the knowledge discovery (KDD) process. In the area of data mining the task of Association rule (AR) mining is to discover interesting relations among various items in the database. One of the subfield of artificial intelligence...

The aim of this paper is to propose the Human Evolutionary Model (HEM) as a novel eomputational method for solv­ ing seareh and optimization problems with single or multiple objeetives, HEM is an intelligent evolutionary optimization method that uses eonsensus knowledge from experts with the aim of inferring the most suitable parameters to aehieve the evolution in an intelligent way, HEM is abl...

This study proposes a novel technique of cooperative control for distributed hybrid DC/AC Microgrid (MG) by designing digital Infinite Impulse Response (IIR) filter-based Proportional-Resonant (PR) current controller. controller adopts an Adaptive Neuro Fuzzy Inference System (ANFIS) trained Particle Swarm Optimization (PSO) to inverter output while tracking Maximum Power Point (MPP). A ANFIS-P...

This paper proposes an evolutionary fuzzy neural network (EFNN) for tool wear prediction. Material chips are affected by the cutting conditions during process. Different statuses cause material to have different colors; thus, color of a chip can be crucial factor in In this study, time and International Commission on Illumination (CIE) xy value were used as input proposed EFNN, output was predi...

Cognitive Radio (CR) has emerged as a smart solution to spectrum bottleneck faced by current wireless services under which licensed spectrum is made available to unlicensed Secondary Users (SUs) through robust and efficient Spectrum Sensing (SS). Energy Detection (ED) is the dominantly used SS approach owing to its low computational complexity and ability to identify spectrum holes without requ...

Cognitive radios (CRs) have been recently emerging as prime candidates to enhance spectral efficiency by exploiting spectrum-aware systems which can reliably monitor licensed users’ activities. CR users monitor such activities by performing spectrum sensing to detect potential white spaces. However, this process of local sensing might be a challenging task in fading environments. The inefficien...