Journal ArticleDOI
A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyberphysical systems
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TLDR
A new evolutionary algorithm named oriented cuckoo search algorithm (OCS) is designed and employed to improve the performance of DV-Hop algorithm and achieves better precision performance when compared with three other DV- Hop algorithms.About:
This article is published in Journal of Parallel and Distributed Computing.The article was published on 2017-05-01. It has received 218 citations till now. The article focuses on the topics: Cuckoo search & Evolutionary algorithm.read more
Citations
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Journal ArticleDOI
Detection of Malicious Code Variants Based on Deep Learning
TL;DR: A novel method that used deep learning to improve the detection of malware variants using a convolutional neural network that could extract the features of the malware images automatically was proposed.
Journal ArticleDOI
Differential Privacy Techniques for Cyber Physical Systems: A Survey
TL;DR: This paper surveys the application and implementation of differential privacy in four major applications of CPSs named as energy systems, transportation systems, healthcare and medical systems, and industrial Internet of things (IIoT).
Journal ArticleDOI
Binary butterfly optimization approaches for feature selection
Sankalap Arora,Priyanka Anand +1 more
TL;DR: Experimental results confirm the efficiency of the proposed approaches in improving the classification accuracy compared to other wrapper-based algorithms, which proves the ability of BOA algorithm in searching the feature space and selecting the most informative attributes for classification tasks.
Journal ArticleDOI
Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios
TL;DR: A novel recommendation model based on time correlation coefficient and an improved K-means with cuckoo search (CSK-me means) called TCCF is proposed, which can provide a higher quality recommendation by analyzing the user's behaviors and cluster similar users together for further quick and accurate recommendation.
Journal ArticleDOI
MPSO: Modified particle swarm optimization and its applications
Dongping Tian,Zhongzhi Shi +1 more
TL;DR: Extensive experiments on CEC′13/15 test suites and in the task of standard image segmentation validate the effectiveness and efficiency of the MPSO algorithm proposed in this paper.
References
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Journal ArticleDOI
A survey on sensor networks
TL;DR: The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections.
Book
Ant Colony Optimization
TL;DR: Ant colony optimization (ACO) is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals as discussed by the authors In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful is the general purpose optimization technique known as ant colony optimization.
Proceedings ArticleDOI
Cuckoo Search via Lévy flights
Xin-She Yang,Suash Deb +1 more
TL;DR: A new meta-heuristic algorithm, called Cuckoo Search (CS), is formulated, based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour ofSome birds and fruit flies, for solving optimization problems.
Journal ArticleDOI
A New Heuristic Optimization Algorithm: Harmony Search
TL;DR: A new heuristic algorithm, mimicking the improvisation of music players, has been developed and named Harmony Search (HS), which is illustrated with a traveling salesman problem (TSP), a specific academic optimization problem, and a least-cost pipe network design problem.
Posted Content
A New Metaheuristic Bat-Inspired Algorithm
TL;DR: The Bat Algorithm as mentioned in this paper is based on the echolocation behavior of bats and combines the advantages of existing algorithms into the new bat algorithm to solve many tough optimization problems.