Abstract As the technology of Internet Things (IoT) and mobile edge computing (MEC) develops, more tasks are offloaded to servers be computed. The offloading strategy performs an essential role in progress computation offloading. In a general scenario, should consider enough factors, made as quickly possible. While most existing model only considers one or two we investigated considering three ...

Rekonfigurasi jaringan pada distribusi merupakan suatu proses atau usaha untuk mengubah status sakelar saluran yang terhubung (sectionalizing switch) dan tidak (tie dengan tujuan meminimalisasi rugi-rugi daya memperbaiki profil tegangan sistem. dilakukan mengganti jalur baru tanpa menambah jumlah saluran. Namun, rekonfigurasi tepat akan menyebabkan menjadi lebih besar. Pada penelitian ini, meto...

Wireless sensor networks (WSN) have been recently gaining traction for many applications in monitoring and surveillance systems the physical world specifically agriculture, healthcare, smart cities. Many clustering routing approaches introduced to reduce consumption of energy WSNs increase lifetime network. In this study, we propose an improved version grey wolf optimizer (GWO), a nature-inspir...

Economic load dispatch (ELD) provides significant benefits to the operation of power system. It appears be a complex nonconvex optimization problem subject several equal and unequal constraints. The greedy sine-cosine nonhierarchical gray wolf optimizer (G-SCNHGWO) is introduced in this study solve ELD problems efficiently robustly. sine cosine functions assist search agents grey (GWO) algorith...

This paper presents grey wolf optimization - GWO. After presenting the biological basis of GWO, it explains method itself and then main algorithms GWO as well their mathematical models. The Grey Wolf Algorithm (GWO) is presented in detail manner its operation application to examples engineering problems, such as: speed reducer, pressure vessel, spring, car side impact, cone coupling cantilever ...

For remote places having less-strong wind, single resources based renewable energy system (RES) with battery storage can sustainably and economically generate electrical energy. There is hardly any literature on optimal sizing of such RES for very low load demand situation. The objective of this study is to techno-economically optimize the system design of a Photovoltaic (PV)-battery storage RE...

The COVID-19 pandemic and competitiveness pressure the pharmaceutical companies to acquire systems designed be as reliable possible. present paper aims optimize design of a plant through reliability allocation heterogeneous components under constraints. problem is solved by resorting three nature-inspired algorithms artificial intelligence (AI): grey wolf optimizer (GWO), shuffled frog-leaping ...

<p>One of the greatest techniques, inductive coupling is frequently utilized in biomedical sector for wireless energy transfer to implants. The aim this article develop and analyze effect inductor geometrical characteristics, distance between transmitter (TX) receiver (RX) also operating frequency on power system, using grey wolf optimizer-based cuckoo search (GWO-CS) algorithm. Power eff...

This study presents a novel training algorithm depending upon the recently proposed Fitness Dependent Optimizer (FDO). The stability of this has been verified and performance-proofed in both exploration exploitation stages using some standard measurements. influenced our target to gauge performance multilayer perceptron neural networks (MLP). combines FDO with MLP (codename FDO-MLP) for optimiz...