Seamless Vertical Handoff using Invasive Weed Optimization (IWO) algorithm for heterogeneous wireless networks
TLDR
The novel method of IWO algorithm for decision making during Vertical Handoff is brought out and the proposed VHO decision making algorithm is compared with the existing SSF and OPTG methods.About:
This article is published in Ain Shams Engineering Journal.The article was published on 2016-03-01 and is currently open access. It has received 12 citations till now. The article focuses on the topics: Wireless network & Evolutionary algorithm.read more
Citations
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Journal ArticleDOI
Optimal chiller loading by improved invasive weed optimization algorithm for reducing energy consumption
TL;DR: The experimental results show that the EIWO algorithm can find equal or better optimal solution compared with other algorithms, and the convergence ability, stability and robustness are verified.
Journal ArticleDOI
Review and Classification of Bio-inspired Algorithms and Their Applications
TL;DR: This paper provides a systematic, pragmatic and comprehensive review of the latest developments in evolutionary based bio-inspired algorithms, swarm intelligence-based bio- inspired algorithms, ecology based bio -inspired algorithms and multi-objective bio-Inspired algorithms.
Journal ArticleDOI
Self-adaptive discrete invasive weed optimization for the blocking flow-shop scheduling problem to minimize total tardiness
TL;DR: Experimental results show that the proposed SaDIWO outperforms the existing state-of-the-art algorithms and improves the best known solutions for 132 out of 480 problem instances.
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A parallel improved IWO algorithm on GPU for solving large scale global optimization problems
TL;DR: The simulation results of solving on the LSGO problems have shown that the designed IIWO can yield better performance, faster convergence speed and higher accuracy; whilst the PIIWO has fewer iterations, higher computing accuracy and significant speedup than the serial algorithm IIO.
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An integrated converter topology for torque ripple minimization in BLDC motor using an ITSA technique
TL;DR: The Improved Tunicate Swarm optimization algorithm (ITSA) is explored to control the speed and torque error from BLDC motor and the TSA search behavior is improved with crossover and mutation operator.
References
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Journal ArticleDOI
A novel numerical optimization algorithm inspired from weed colonization
Ali Reza Mehrabian,Caro Lucas +1 more
TL;DR: A novel numerical stochastic optimization algorithm inspired from colonizing weeds to mimic robustness, adaptation and randomness of Colonizing weeds in a simple but effective optimizing algorithm designated as Invasive Weed Optimization (IWO).
Journal ArticleDOI
Vertical handoffs in fourth-generation multinetwork environments
Janise McNair,Fang Zhu +1 more
TL;DR: This article presents a tutorial on the design and performance issues for vertical handoff in an envisioned multinetwork fourth-generation environment, including new techniques for dynamic handoff decision and detection algorithms and context-aware radio link transfer.
Journal ArticleDOI
Vertical Handoff Decision Algorithms for Providing Optimized Performance in Heterogeneous Wireless Networks
TL;DR: A VHO decision algorithm is developed that enables a wireless access network to not only balance the overall load among all attachment points but also maximize the collective battery lifetime of mobile nodes (MNs) and maintain load balancing.
Journal ArticleDOI
A seamless and proactive end-to-end mobility solution for roaming across heterogeneous wireless networks
TL;DR: A novel seamless and proactive end- to-end mobility management system, which can maintain the connections based on the end-to-end principle by incorporating an intelligent network status detection mechanism.
Journal ArticleDOI
Media-independent handover for seamless service provision in heterogeneous networks
TL;DR: The main seamless mobility principles are identified and used as the basis for further evaluating the potential of the IEEE 802.21 standard to meet the requirements of applications for minimum disruption during an inter-technology handover.
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