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Symbolic Regression Using Dynamic Structured Grammatical Evolution with Digit Concatenation and Linear Scaling
Symbolic Regression’s vast search space can lead to computational inefficiencies. However, Grammatical Evolution (GE) narrows down the search by...
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Intensification Process Applied to Codon Selection in Grammatical Evolution
Grammar Evolution (GE) represents a variant of Genetic Programming that has gained substantial popularity in recent years within the field of...
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Towards Grammatical Evolution-Based Automated Design of Differential Evolution Algorithm
Indu, M. T. Shunmuga Velayutham, C.Differential evolution (DE) is a robust evolutionary algorithm that has been applied for various real world...
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Evolving Behavioural Models of Combinational and Sequential Digital Circuits in SystemVerilog using Grammatical Evolution
Digital circuit design is a very complex and time consuming task which requires a great deal of skill. It has been greatly aided by the use of...
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Multilayer analysis of population diversity in grammatical evolution for symbolic regression
In this paper, we analyze the population diversity of grammatical evolution (GE) on multiple levels of genetic information: chromosome diversity,...
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One-Class Subject Authentication Using Feature Extraction by Grammatical Evolution on Accelerometer Data
InMauceri, Stefano thisSweeney, James studyMcDermott, James Grammatical EvolutionGrammatical evolution (GE) is used to extract features from...
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Stock Price Prediction Using Grammatical Evolution
Grammatical evolution is an evolutionary method that is used for the automated generation of programs. Over the years, different studies have proven...
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Studying Grammatical Evolution’s Map** Processes for Symbolic Regression Problems
Grammatical Evolution (GE) is a variant of Genetic Programming (GP) that uses a BNF-grammar to create syntactically correct solutions. GE is composed...
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RETRACTED ARTICLE: Quality of Service based Ad hoc On-demand Multipath Distance Vector Routing protocol in mobile ad hoc network
Mobile ad hoc networks (MANETs) are wireless networks that include many peer nodes. The node mobility in the MANETs leads to several issues like...
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Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting
The ideal solution for diabetes mellitus type 1 patients is the generalization of artificial pancreas systems. Artificial pancreas will control blood...
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CMA Evolution Strategy Applied to Optimize Chemical Molecular Clusters MxNz (x + y ≤ 5; M = N or M ≤ N)
The chemical molecular clusters generation is widely used to find new chemical components. The goal is to find a stable geometry that has the lowest...
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Ant colony systems optimization applied to BNF grammars rule derivation (ACORD algorithm)
Ant colony systems have been widely employed in optimization issues primarily focused on path finding optimization, such as travelling salesman...
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Swarm Programming Using Multi-verse Optimizer
Si, TapasSwarm programming is the swarm-based automatic programming in which swarm intelligence algorithms are used to evolve computer programs...
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Computational Optimization of Water Resources Management Through Evolutionary Computing: An Approach Based on the Transportation Problem
One of the most urgent dilemmas in the world is the management and supply of water. Water stress occurs when excess water is extracted from the water...
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Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms
Automatic programming (AP) is an important area of Machine Learning (ML) where computer programs are generated automatically. Swarm Programming (SP),...
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RETRACTED ARTICLE: A hybrid metaheuristic approach for efficient feature selection methods in big data
The big data is based on the 3V challenges that are the volume, the variety, and velocity. Big data is collected from various sources and it is seen...
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A survey: evolutionary deep learning
Deep learning (DL) has made remarkable progress on various real-world tasks, but its construction pipeline strongly relies on human scientists....
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Syntax in Emoji Sequences on Social Media Posts
With the standardization of emojis, by the Unicode consortium, their use was quickly adopted in publications on social networks. Since then, several...
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Comparing Evolutionary Artificial Neural Networks from Second and Third Generations for Solving Supervised Classification Problems
Constituting nature-inspired computational systems, Artificial Neural Networks (ANNs) are generally classified into several generations depending on...
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Active Protocol Discoverer Based on Grammatical Evolution
The paper presents a proposition of a system of protocol discovering (Protocol Discoverer) developed on the basis of Grammatical Evolution...