Cognitive Radio (CR) has been developed as an enabling technology that allows the unused or underused spectrum to be used dynamically increase spectral efficiency. To improve overall performance of CR system it is extremely important adapt reconfigure parameters. The Decision Engine a major module in CR-based not only includes radio monitoring and cognition functions but also responsible for pa...

This work evaluates the performance of salp swarm algorithm (SSA) for truss system optimization problems and presents a novel method called modified (MSSA). Five structures, previously optimized by metaheuristics containing discrete continuous variables, were used evaluations. Size size–shape types considered. Although SSA performs poorly has convergence issues in initial random solutions, it r...

Salp Sürü Algoritması (SSA) son dönem sürü zekâsı algoritmalarından olup, basit yapılıdır ve kullanımı oranı artan bir algoritmadır. Kullanım oranındaki artışın en önemli sebebi, bu algoritmanın problem çözmede gösterdiği başarıdır. Buna karşın, SSA algoritmasının performansı türleri değiştikçe kötüleşebilmektedir. Bu çalışma, durumu ele almakta olup global optimizasyon için Cauchy (caSSA) adın...

Electric energy has become more essential in the recent year for all human activities. Therefore demand electricity is increasing to an extreme. The non-conventional generation methods are attracting suppliers as its design and implementation comparatively simple than conventional generation. However, sources widely dependent nature. Hence power supply regularity a questionable one systems. of ...

In recent years, the Internet of Things (IoT) has led to spread cloud computing devices in all commercial, industrial and agricultural sectors. The use environment services is increasing exponentially with technology applications based on IoT. Fog addressing issues environments. reduces load balancing, processing, bandwidth, storage as data file replication from network closest sensors differen...

so far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is particle swarm optimization (pso). prior some efforts by applying fuzzy logic for improving defects of pso such as trapping in local optimums and early convergence has been done. moreover to overcome the problem of i...

A new optimization method is proposed in this paper for finding the firing angles in multi-level voltage source inverters to eliminate low-order selective harmonics and reduce total harmonic distortion (THD) value of the output voltage. For thid end, Fourier series is used for calculating objective function and selecting specific harmonics. Regarding the nature and complexity of the employed no...