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Heuristic and Exact Algorithms for the Two-Machine Just in Time Job Shop Scheduling Problem
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Hindawi Limited
, 2016 , Article)
The problem addressed in this paper is the two-machine job shop scheduling problem when the objective is to minimize the total earliness and tardiness from a common due date (CDD) for a set of jobs when their weights equal ...
Optimization of chiral lattice based metastructures for broadband vibration suppression using genetic algorithms
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Academic Press
, 2016 , Article)
One of the major challenges in civil, mechanical, and aerospace engineering is to develop vibration suppression systems with high efficiency and low cost. Recent studies have shown that high damping performance at broadband ...
Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In training radial basis function neural networks (RBFNNs), the locations of Gaussian neurons are commonly determined by clustering. Training inputs can be clustered on a fully unsupervised manner (input clustering), or ...
Network function virtualization scheduling with transmission delay optimization
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
To accelerate the implementation of network functions/middle boxes and reduce the deployment cost, recently the concept of Network Function Virtualization (NFV) has emerged and became a topic of much interest attracting ...
Relay selection schemes to minimise outage in wireless powered communication networks
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Institution of Engineering and Technology
, 2016 , Article)
In this study, the authors discuss relay selection schemes with the objective to minimise outage probability for a network consisting of a single source, multiple relays and a single destination. The relays are powered by ...
Distributed Multi-Objective Resource Optimization for Mobile-Health Systems
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference Paper)
Mobile-health (m-health) systems leverage wireless and mobile communication technologies to promote new ways to acquire, process, transport, and secure the raw and processed medical data. M-health systems provide the ...
Genetic algorithm use for internally resonating lattice optimization: Case of a beam-like metastructure
(
Springer New York LLC
, 2016 , Conference Paper)
Metamaterial inspired structures, or metastructures, are structural members that incorporate periodic or nonperiodic inserts. Recently, a new class of metastructures has been introduced which feature chiral lattice inserts. ...
High-performance removal of toxic phenol by single-walled and multi-walled carbon nanotubes: Kinetics, adsorption, mechanism and optimization studies
(
Korean Society of Industrial Engineering Chemistry
, 2016 , Article)
The adsorption capabilities of two nano-sized adsorbents: multi-walled carbon nanotubes (MWCNTs) and single-walled carbon nanotubes (SWCNTs) were investigated for the removal of toxic phenol. The maximum adsorption capacities ...
Optimization of probability of error in collaborative spectrum sensing of time-limited cognitive radio networks
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
We study the probability of error optimization problem in collaborative spectrum sensing (CSS) with limited time resources in cognitive radio (CR) networks. The frame structures for sensing and data transmission, if the ...
Efficient Usage of Renewable Energy in Communication Systems Using Dynamic Spectrum Allocation and Collaborative Hybrid Powering
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In this paper, we introduce a new green resource allocation problem using hybrid powering of communication systems from renewable and nonrenewable sources. The objective is to efficiently allocate the power delivered from ...