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Energy aware optimized clustering for hierarchical routing in wireless sensor network
RK Yadav, RP Mahapatra - Computer Science Review, 2021 - Elsevier
Abstract In fact, Cluster Head (CH) can be selected randomly or based on one or more
criteria that directly pave the way for maximizing network lifetime. However, the selection of …
criteria that directly pave the way for maximizing network lifetime. However, the selection of …
Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning
G Du, Y Zou, X Zhang, Z Kong, J Wu, D He - Applied Energy, 2019 - Elsevier
The energy management approach of hybrid electric vehicles has the potential to overcome
the increasing energy crisis and environmental pollution by reducing the fuel consumption …
the increasing energy crisis and environmental pollution by reducing the fuel consumption …
[HTML][HTML] Techno-economic optimization of standalone hybrid power systems in context of intelligent computational multi-objective algorithms
The use of renewable energy (RE) for meeting some load power demand in the present
global developmental dealings is realistically unavoidable. However, many challenges …
global developmental dealings is realistically unavoidable. However, many challenges …
An improved differential evolution algorithm for optimal location of battery swap** stations considering multi-type electric vehicle scale evolution
S Wang, L Yu, L Wu, Y Dong, H Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Scientific scale forecasting of multi-type electric vehicles (EVs) is critical to accurately
analyze the planning and operation of battery-swap** stations (BSSs) and charging …
analyze the planning and operation of battery-swap** stations (BSSs) and charging …
Grey wolf optimizer for optimal sizing of hybrid wind and solar renewable energy system
DK Geleta, MS Manshahia, P Vasant… - Computational …, 2022 - Wiley Online Library
By taking facts such as oil depletion, increasing number of population and energy demand
into account, alternative electric generation scheme called renewable energy has entered …
into account, alternative electric generation scheme called renewable energy has entered …
Discovery of resident behavior patterns using machine learning techniques and IoT paradigm
In recent years, technological paradigms such as Internet of Things (IoT) and machine
learning have become very important due to the benefit that their application represents in …
learning have become very important due to the benefit that their application represents in …
A novel improved symbiotic organisms search algorithm
For last two decades, nature‐inspired metaheuristic algorithms together with their modified,
improved, and hybrid versions have been gaining huge popularity in the field of optimization …
improved, and hybrid versions have been gaining huge popularity in the field of optimization …
Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning
The facility layout problem (FLP) is a combinatorial optimization problem. The performance
of the layout design is significantly impacted by diverse, multiple factors. The use of …
of the layout design is significantly impacted by diverse, multiple factors. The use of …
Gravitational search algorithm‐based optimization of hybrid wind and solar renewable energy system
DK Geleta, MS Manshahia - Computational Intelligence, 2022 - Wiley Online Library
Due to the issue of environmental protection coupled with high energy demand, there was
an initiation for exploration of different renewable energy sources. This article aims to …
an initiation for exploration of different renewable energy sources. This article aims to …
Artificial bee colony algorithm for content‐based image retrieval
A Banharnsakun - Computational Intelligence, 2020 - Wiley Online Library
Image retrieval is the process of searching for digital images from a large database. There
exist two distinctive research groups, which employ the content‐based and description …
exist two distinctive research groups, which employ the content‐based and description …