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Particle swarm optimization technique for speed control and torque ripple minimization of switched reluctance motor using PID and FOPID controllers
Switched Reluctance Motors has become one of the best solutions for EV applications because of its numerous benefits over other electric drive...
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User satisfaction-based energy-saving computation offloading in fog computing networks
In order to enhance resource allocation in fog computing networks and establish an energy-aware service, this paper proposes a user...
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Accelerated methods with fastly vanishing subgradients for structured non-smooth minimization
In a real Hilbert space, we study a new class of forward-backward algorithms for structured non-smooth minimization problems. As a special case of...
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Trading Off Controlled System Energy and Wireless Communication Energy
In contrast with previous cellular systems standard, 5G wireless communications are much more suited to the remote control physical systems (e.g.,... -
A Deep Reinforcement Learning-Based Energy Management Optimization for Fuel Cell Hybrid Electric Vehicle Considering Recent Experience
This study emphasizes a recent experience sampling method in conjunction with Deep Deterministic Policy Gradient (DDPG) to enhance the training speed... -
Energy-delay-aware VNF scheduling: a reinforcement learning approach with hierarchical reward enhancement
Network functions virtualization (NFV) is a technology that virtualizes network functions into virtual network functions (VNF) to deliver...
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Energy consumption optimization for edge computing-supported cellular networks based on optimal transport theory
With advancements in mobile communication technologies, there have been multiple user device (UD) connections to cellular networks. Because of...
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Discrete and combinatorial gravitational search algorithms for test case prioritization and minimization
Regression testing is an essential but expensive activity to re-execute all the test cases every time the software updates. Test case prioritization...
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Computing a Partition Function of a Generalized Pattern-Based Energy over a Semiring
Valued constraint satisfaction problems with ordered variables (VCSPO) are a special case of Valued CSPs in which variables are totally ordered and...
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A Precoding Based PAPR Minimization Schemes for NOMA in 5G Network
Fundamental issue exists in a wireless communication system is how to allocate a number of users within a limited spectrum resource. This leads to...
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On Minimizing the Energy of a Spherical Graph Representation
Graph representations are the generalization of geometric graph drawings from the plane to higher dimensions. A method introduced by Tutte to... -
Energy Minimization for Cloud Services with Stochastic Requests
Energy optimization for cloud computing services has gained a considerable momentum over the recent years. Unfortunately, minimizing energy... -
Single image dehazing based on single pixel energy minimization
The common dehazing algorithms always assume that the transmission values of all the pixels in an image block are the same (local consistency...
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Latency minimization model towards high efficiency edge-IoT service provisioning in horizontal edge federation
Edge computing plays a critical role in IoT as it potentially minimized the computation tasks response latency demanded by time-critical IoT...
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Energy Aware Effective Task Offloading Mechanism in Fog Computing
Fog computing has emerged as a promising paradigm for extending the capabilities of the cloud closer to the edge of the network, enabling efficient... -
A multi-agent collaboration scheme for energy-efficient task scheduling in a 3D UAV-MEC space
Multi-access edge computing (MEC) presents computing services at the edge of networks to address the enormous processing requirements of intelligent...
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Robust generation expansion planning in power grids under renewable energy penetration via honey badger algorithm
Robust reliability Generation Expansion Planning (GEP) turns out to be a crucial step for an efficient energy management system in a modern power...
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An Osprey Optimization Based Efficient Controlling of Nuclear Energy-Based Power System
Increased utilization of automated machine to reduce human effort has enormously increased demand of power units to be produced. This increased... -
Energy-efficient resource-constrained multi-project scheduling problem with generalized precedence relations and multi-skilled resources
This paper presents a new integrated model for the multi-skilled project scheduling and multi-project scheduling problems, where the activities are...
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Asymptotic Performance and Energy Consumption of SLACK
Scheduling n independent tasks onto m identical processors in order to minimize the makespan has been widely studied. As an alternative to classic...