Results 1 to 10 of about 960,921 (362)
Re-inspiring the genetic algorithm with multi-level selection theory: multi-level selection genetic algorithm [PDF]
Bioinspiration & Biomimetics, 2018 Genetic algorithms are integral to a range of applications. They utilise Darwin’s theory of evolution to find optimal solutions in large complex spaces such as engineering, to visualise the design space, artificial intelligence, for pattern ...
Adam J. Sobey, P. Grudniewski
semanticscholar +4 more sources
Mathematics, 2021 Since the discovery that machine learning can be used to effectively detect Android malware, many studies on machine learning-based malware detection techniques have been conducted.
Jaehyeong Lee +3 more
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A Selection Process for Genetic Algorithm Using Clustering Analysis
Algorithms, 2017 This article presents a newly proposed selection process for genetic algorithms on a class of unconstrained optimization problems. The k-means genetic algorithm selection process (KGA) is composed of four essential stages: clustering, membership phase ...
Adam Chehouri +4 more
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Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification [PDF]
Medical and Biological Engineering and Computing, 2021 Microarray gene expression data are often accompanied by a large number of genes and a small number of samples. However, only a few of these genes are relevant to cancer, resulting in significant gene selection challenges.
Xiongshi Deng +3 more
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Coastal Sentiment Review Using Naïve Bayes with Feature Selection Genetic Algorithm
Scientific Journal of Informatics, 2023 Purpose: The tourism potential in the maritime sector can be Indonesia's mainstay at this time, especially in enjoying the charm of the natural beauty of the coast as people know Indonesia is an archipelagic country.
O. Somantri +2 more
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Fast Genetic Algorithm for feature selection — A qualitative approximation approach
Expert systems with applications, 2023 We propose a two-stage surrogate-assisted evolutionary approach to address the computational issues arising from using Genetic Algorithm (GA) for feature selection in a wrapper setting for large datasets.
Mohammed Ghaith Altarabichi +3 more
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Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm
Shanghai Jiaotong Daxue xuebao, 2021 Aimed at the mission planning for cleaning photovoltaic panels in large-area photovoltaic plants with mobile cleaning robots, a district planning strategy is hereby proposed.
LI Cuiming, WANG Ning, ZHANG Chen
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Complexity, 2021 This article proposes an Analytic Hierarchy Process Dempster-Shafer (AHP-DS) and similarity-based network selection algorithm for the scenario of dynamic changes in user requirements and network environment; combines machine learning with network ...
Weiwei Xiao
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Applied Sciences, 2022 Hyperparameter tuning is a critical function necessary for the effective deployment of most machine learning (ML) algorithms. It is used to find the optimal hyperparameter settings of an ML algorithm in order to improve its overall output performance. To
Ismail Damilola Raji +5 more
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Genetic drift in genetic algorithm selection schemes [PDF]
IEEE Transactions on Evolutionary Computation, 1999 A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection, steady-state selection with varying generation gap, a simple model of Eshelman's CHC algorithm ...
Rogers, A., Prügel-Bennett, A.
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