Nature inspired meta-heuristic algorithms for solving the load-balancing problem in cloud environments

ST Milan, L Rajabion, H Ranjbar… - Computers & Operations …, 2019 - Elsevier
In a cloud environment, the aim of using optimal resources can be achieved using a load-
balancing technique. The load-balancing technique assigns a set of requests into a set of …

Model identification of proton-exchange membrane fuel cells based on a hybrid convolutional neural network and extreme learning machine optimized by improved …

E Han, N Ghadimi - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
In this research, a new optimized deep learning-based methodology is proposed for optimal
and efficient modeling of the Proton-exchange membrane fuel cells. Here, a hybrid method …

Model parameters identification of the PEMFCs using an improved design of Crow Search Algorithm

F Duan, F Song, S Chen, M Khayatnezhad… - International Journal of …, 2022 - Elsevier
There is an increasing trend for fuel cell systems applications in electricity generation
systems instead of traditional power generation systems because of their advantages such …

Optimal model evaluation of the proton-exchange membrane fuel cells based on deep learning and modified African Vulture Optimization Algorithm

J Zhang, M Khayatnezhad… - Energy Sources, Part A …, 2022 - Taylor & Francis
ABSTRACT A new optimized design of a hybrid AlexNet/Extreme Learning Machine (ELM)
network to provide an optimal identification tool for the Proton-exchange membrane fuel …

Optimal modeling of combined cooling, heating, and power systems using developed African Vulture Optimization: a case study in watersport complex

L Chen, H Huang, P Tang, D Yao, H Yang… - Energy Sources, Part …, 2022 - Taylor & Francis
The present study proposes an optimal design of combined cooling, heating, and power
systems (CCHP) for a watersport complex. The main purpose is to reduce the energy losses …

Parameter extraction of the SOFC mathematical model based on fractional order version of dragonfly algorithm

H Guo, W Gu, M Khayatnezhad, N Ghadimi - International Journal of …, 2022 - Elsevier
Fuel cells are considered as new kinds of clean energy sources. This study presents a
method for optimal unknown parameters identification of a Solid Oxide Fuel Cell (SOFC) …

Optimal parameter identification of PEMFC stacks using adaptive sparrow search algorithm

Y Zhu, N Yousefi - International journal of hydrogen energy, 2021 - Elsevier
In this paper, a new optimization algorithm called Adaptive Sparrow Search Algorithm
(ASSA) is proposed for optimal model parameters identification of the proton exchange …

A comprehensive and systematic review of the network virtualization techniques in the IoT

J Ramakrishnan, MS Shabbir… - International Journal …, 2020 - Wiley Online Library
Summary Internet of Things (IoT) as one of the last technology in the network domain is an
environment of associated physical objects that are reachable through the Internet …

A multi-objective home energy management system based on internet of things and optimization algorithms

X Wang, X Mao, H Khodaei - Journal of Building Engineering, 2021 - Elsevier
This study presents a new optimal method for home energy management system based on
the internet of things. The method is a multi-objective optimization method that considers two …

[HTML][HTML] System identification of PEM fuel cells using an improved Elman neural network and a new hybrid optimization algorithm

D Yu, Y Wang, H Liu, K Jermsittiparsert, N Razmjooy - Energy Reports, 2019 - Elsevier
Parameter identification of the proton exchange membrane fuel cell (PEMFC) is a good way
of increasing their efficiency in the next designs. In this study, an optimized improved Elman …