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RGFGA: An efficient representation and crossover for grouping genetic algorithms [PDF]
, 2005 There is substantial research into genetic algorithms that are used to group large numbers of objects into mutually exclusive subsets based upon some fitness function. However, nearly all methods involve degeneracy to some degree.
Crampton, J, Tucker, A, Swift, S
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PDGA: The primal-dual genetic algorithm [PDF]
, 2003 Copyright @ 2003 IOS PressGenetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the performance of GAs.
Yang, S
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BMC Bioinformatics, 2021 Background The genetic basis of phenotypic traits is highly variable and usually divided into mono-, oligo- and polygenic inheritance classes. Relatively few traits are known to be monogenic or oligogeneic. The majority of traits are considered to have a
Patrik Waldmann
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Haematologica, 2022 Inherited thrombocytopenias (IT) are genetic diseases characterized by low platelet count, sometimes associated with congenital defects or a predisposition to develop additional conditions.
Caterina Marconi +15 more
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Genomic landscape of a three-generation pedigree segregating affective disorder. [PDF]
PLoS ONE, 2009 Bipolar disorder (BPD) is a common psychiatric illness with a complex mode of inheritance. Besides traditional linkage and association studies, which require large sample sizes, analysis of common and rare chromosomal copy number variants (CNVs) in ...
Shuzhang Yang +6 more
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PGGA: A predictable and grouped genetic algorithm for job scheduling [PDF]
, 2006 This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimation algorithm is designed to estimate a job workload based on its historical execution records, (2 ...
Li, M, Qi, M, Yu, B
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A novel parameterized neutrosophic score function and its application in genetic algorithm [PDF]
PeerJ Computer ScienceEfficiency, safety and cost are three major evaluation indexes of warehouse operation. However, the uncertainty of efficiency, safety and cost factors will lead to economic losses and waste of resources.
Yi Zhao +4 more
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Battery Remaining Useful Life Prediction with Inheritance Particle Filtering
Energies, 2019 Accurately forecasting a battery’s remaining useful life (RUL) plays an important role in the prognostics and health management of rechargeable batteries. An effective forecast is reported using a particle filter (PF), but it currently suffers from
Lin Li +3 more
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Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation [PDF]
, 2012 Genetic Algorithms are a search paradigm that applies principles of evolutionary biology (crossover, mutation, natural selection) in order to deal with intractable search spaces. The power and success of GA are mostly achieved by the diversity with the individuals of a population which evolve, in parallel, following the principle of the survival of the
Esther Lugo-Gonzlez +5 more
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Reducing Building Conflicts in Map Generalization with an Improved PSO Algorithm
ISPRS International Journal of Geo-Information, 2017 In map generalization, road symbolization and map scale reduction may create spatial conflicts between roads and neighboring buildings. To resolve these conflicts, cartographers often displace the buildings.
Hesheng Huang +3 more
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