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Application of chaotic Josephus scrambling and RNA computing in image encryption
This article describes the application of chaotic Josephus scrambling and RNA computing in image encryption. The algorithm uses the classical...
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Color image DNA encryption using mRNA properties and non-adjacent coupled map lattices
This paper proposes a novel algorithm for encrypting color images. The innovation in this study is the use of messenger ribonucleic acid (mRNA)...
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Research on Intelligent Test Paper Based on Improved Genetic Algorithm
At present, under the current quality education, the examination is still one of the main measure of teachers’ teaching ability and student...
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A comprehensive investigation into the performance, robustness, scalability and convergence of chaos-enhanced evolutionary algorithms with boundary constraints
The purpose of this research is to investigate the effects of different chaotic maps on the exploration/exploitation capabilities of evolutionary...
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Research on DNA Cryptosystem Based on DNA Computing
As a new type of cryptography, DNA cryptography generally uses DNA molecule as the information carrier and biological technology as the...
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Meta-heuristic Approaches for Effective Scheduling in Infrastructure as a Service Cloud: A Systematic Review
Cloud computing involves a large number of shared virtual servers that are accessible from both public and private networks. It has provided scalable...
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A study on evolutionary computing based web service selection techniques
Many service providers are offering their business functionality as web services. The problem of web service selection is a complex and...
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Predator-Prey Behavior Firefly Algorithm for Solving 2-Chlorophenol Reaction Kinetics Equation
2-Chlorophenol is a kind of representative organic waste water. With the environmental pollution becoming increasingly serious, and the large amount...
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Usage and implementation of neuro-fuzzy systems for classification and prediction in the diagnosis of different types of medical disorders: a decade review
In classification and prediction of different types of medical disorders the neuro-fuzzy systems (NFS) are playing vital and significant role. To...
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Feature selection via a novel chaotic crow search algorithm
Crow search algorithm (CSA) is a new natural inspired algorithm proposed by Askarzadeh in 2016. The main inspiration of CSA came from crow search...
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Review of modified and hybrid flower pollination algorithms for solving optimization problems
Flower pollination algorithm (FPA) is a nature-inspired meta-heuristics to handle a large scale optimization process. This paper reviews the previous...
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Development of chaotically improved meta-heuristics and modified BP neural network-based model for electrical energy demand prediction in smart grid
In this paper, a modified backpropagation neural network is combined with a chaos-search genetic algorithm and simulated annealing algorithm for very...
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A hybrid heuristic-based tuned support vector regression model for cloud load prediction
Cloud computing elasticity helps the cloud providers to handle large amount of computation and storage demands in an efficient manner. Proactively...
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A Hybrid RCO for Dual Scheduling of Cloud Service and Computing Resource in Private Cloud
In this chapter, the idea of combining SCOS and OACR into one-time decision in one console is presented, named Dual Scheduling of Cloud Services and...
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CLPS-GA for Energy-Aware Cloud Service Scheduling
In this chapter, CLPS-GA (A Case Library and Pareto Solution-based improved Genetic Algorithm) [Appl Soft Comput 11(3):3056–3065, 2004] for...
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Orthogonal Waveform Design Based on the Modified Chaos Genetic Algorithm for MIMO Radar
In view of the traditional genetic algorithm easily fall into local optimum in the late iterations, this paper puts forward an improved chaos genetic...
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SVR with Chaotic Genetic Algorithm in Taiwanese 3G Phone Demand Forecasting
Along with the increases of 3G relevant products and the updating regulations of 3G phones, 3G phones are gradually replacing 2G phones as the...
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Identification of Parameters in Chemical Kinetics Using a Hybrid Algorithm of Artificial Bee Colony Algorithm and Simplex
Parameter identification is a key step in establishing kinetic models. Aimed at the above problem, it can be transformed into an optimization problem...
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A Study of Probability Collectives Multi-agent Systems on Optimization and Robustness
We present a study on optimization and robustness of Probability Collectives Multi-agent Systems (PCMAS). This framework for distributed optimization...
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A self-organization mining based hybrid evolution learning for TSK-type fuzzy model design
In this paper, a self-organization mining based hybrid evolution (SOME) learning algorithm for designing a TSK-type fuzzy model (TFM) is proposed. In...