Efficient feature selection using one-pass generalized classifier neural network and binary bat algorithm with a novel fitness function
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04218-6
Abstract: In high-dimensional data, many of the features are either irrelevant to the machine learning task or are redundant. These situations lead to two problems, firstly overfitting and secondly high computational overhead. The paper proposes a… read more here.
Keywords: novel fitness; neural network; fitness function; one pass ... See more keywords
A lexicographic cooperative co-evolutionary approach for feature selection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.08.003
Abstract: Abstract This paper starts with two hypotheses. The first one is that the simultaneous optimization of the hyperparameters regulating the classifier within a wrapper method, while the best subset of features is being determined, should… read more here.
Keywords: paper; evolutionary approach; fitness function; lexicographic cooperative ... See more keywords
Empowering the Human as the Fitness Function in Search-Based Model-Driven Engineering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2021.3121253
Abstract: In Search-Based Software Engineering, more than 100 works have involved the human in the search process to obtain better results. However, the case where the human completely replaces the fitness function remains neglected. There is… read more here.
Keywords: search based; fitness function; haff; search ... See more keywords
An improved fitness function for automated cryptanalysis using genetic algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v13.i2.pp643-648
Abstract: Genetic Algorithm (GA) is a popular desire for the researchers for creating an automated cryptanalysis system. GA strategy is useful for many problems. Genetic Algorithms try to solve problems by using genetic processes. Different techniques… read more here.
Keywords: genetic algorithm; fitness function; using genetic; automated cryptanalysis ... See more keywords
Evolutionary polynomial regression improved by regularization methods
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DOI: 10.1371/journal.pone.0282029
Abstract: Evolutionary polynomial regression (EPR) is a data mining tool that has been widely used in solving various geotechnical engineering problems. The fitness function is the core of EPR. However, overfitting may still occur in EPR,… read more here.
Keywords: regularization; polynomial regression; regularization methods; evolutionary polynomial ... See more keywords
Optimal Damper Placement Using Combined Fitness Function
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DOI: 10.3389/fbuil.2019.00004
Abstract: Passive control of structures represents practical concept and qualitative change of the design and construction of new seismically resistant structures and strengthening of existing ones. The best distribution obtained by the minimization or maximization of… read more here.
Keywords: optimal damper; function; placement; structure ... See more keywords
An Advanced Fitness Function Optimization Algorithm for Anomaly Intrusion Detection Using Feature Selection
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13084958
Abstract: Cyber-security systems collect information from multiple security sensors to detect network intrusions and their models. As attacks become more complex and security systems diversify, the data used by intrusion-detection systems becomes more dimensional and large-scale.… read more here.
Keywords: intrusion detection; detection; selection; fitness function ... See more keywords