Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function
Journal of Control Science and Engineering, 2022 To reduce the complexity and multiple constraints of logistics distribution routing problems, the author proposes an improved genetic algorithm, adaptive immune genetic algorithm (AIGA).
Hui Wen
doaj +1 more source
Selection of attributes for modelling Bach chorales by a genetic algorithm [PDF]
, 1995 A genetic algorithm selected combinations of attributes for a machine learning system. The algorithm used 90 Bach chorale melodies to train models and randomly selected sets of 10 chorales for evaluation.
Hall, Mark A.
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Genetic heterogeneity analysis using genetic algorithm and network science [PDF]
arXiv, 2023 Through genome-wide association studies (GWAS), disease susceptible genetic variables can be identified by comparing the genetic data of individuals with and without a specific disease. However, the discovery of these associations poses a significant challenge due to genetic heterogeneity and feature interactions.
arxiv
Predicting expected TCP throughput using genetic algorithm [PDF]
, 2016 Predicting the expected throughput of TCP is important for several aspects such as e.g. determining handover criteria for future multihomed mobile nodes or determining the expected throughput of a given MPTCP subflow for load-balancing reasons.
Hernandez Benet, Cristian +2 more
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Feature selection for high dimensional data: An evolutionary filter approach. [PDF]
, 2011 Problem statement: Feature selection is a task of crucial importance for the application of machine learning in various domains. In addition, the recent increase of data dimensionality poses a severe challenge to many existing feature selection ...
Balola, Adlan +3 more
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Genetic algorithm feature selection resilient to increasing amounts of data imputation
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceThis paper investigates the robustness of a genetic algorithm (GA) in feature selection across a dataset with increasing imputed missing values. Feature selection can be beneficial in predictive modeling to reduce computational costs and potentially ...
Maryam Kebari, Annie S Wu
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Genetic Drift in Genetic Algorithm Selection Schemes
, 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,
Prügel-Bennett, A., Rogers, A.
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Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem [PDF]
Journal of Heuristics, 8(5), pp 503-514, 2002, 2008 During our earlier research, it was recognised that in order to be successful with an indirect genetic algorithm approach using a decoder, the decoder has to strike a balance between being an optimiser in its own right and finding feasible solutions. Previously this balance was achieved manually.
arxiv +1 more source
A Feature Selection Algorithm to Compute Gene Centric Methylation from Probe Level Methylation Data [PDF]
, 2016 DNA methylation is an important epigenetic event that effects gene expression during development and various diseases such as cancer. Understanding the mechanism of action of DNA methylation is important for downstream analysis.
Baur, Brittany, Bozdag, Serdar
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Inbreeding management and optimization of genetic gain with phenotypic and genomic selection in oil palm (Elaeis guineensis)[W776] [PDF]
, 2020 Oil palm breeding relies on reciprocal recurrent selection between two heterotic groups complementary for bunch number and average bunch weight. Given the long generation interval and the limited selection intensity imposed by the progeny tests currently
Cros, David +2 more
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