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Lossless fitness inheritance in genetic algorithms for decision trees [PDF]
When genetic algorithms are used to evolve decision trees, key tree quality parameters can be recursively computed and re-used across generations of partially similar decision trees. Simply storing instance indices at leaves is enough for fitness to be piecewise computed in a lossless fashion.
Kalles, Dimitris, Papagelis, Athanassios
arxiv +6 more sources
Performance of Simple Genetic Algorithm Inserting Forced Inheritance Mechanism and Parameters Relaxation [PDF]
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
semanticscholar +5 more sources
Genetic heterogeneity in familial forms of genetic generalized epilepsy: from mono- to oligogenism [PDF]
Genetic generalized epilepsy (GGE) including childhood absence epilepsy, juvenile absence epilepsy, juvenile myoclonic epilepsy (JME), and GGE with tonic–clonic seizures (TCS) (GGE-TCS), is genetically influenced with a two- to four- fold increased risk ...
Maha Dahawi+22 more
doaj +3 more sources
A New Supervised Learning Algorithm Based on Genetic Inheritance for Spiking Neural Networks
Spiking neural networks (SNNs) can perform complex spatio-temporal information computations in precise temporal coding. These networks differ from previous models in that spiking neurons convey information by time rather than rate of spikes.
Tingting Pan, Jie Yang, Ning Wang
semanticscholar +4 more sources
Application of New Modified Genetic Algorithm in Inverse Calculation of Strong Source Location
With the rapid development of intelligent systems, the application of genetic algorithms to quickly and accurately determine the location of hazardous gas leaks is of great practical significance.
Jiming Yao+5 more
doaj +2 more sources
Development of Adaptive Range Genetic Algorithms Considering Inheritance of Searching Range.
For several years, adaptive range genetic algorithms have been developed and it turned out to be very efficient in treatment of both discrete variables and continuous variables. That means it is useful tools for mixed variable problem, which was thought most daunting problem in design engineering.
Hiroshi Ishikawa, Masao Arakawa
+7 more sources
Advances in high-throughput sequencing technologies have made it possible to access millions of measurements from thousands of people. Single nucleotide polymorphisms (SNPs), the most common type of mutation in the human genome, have been shown to play a
Fariba Esmaeili+2 more
doaj +2 more sources
Background Retinitis Pigmentosa (RP) is a clinically and genetically heterogeneous disorder that results in inherited blindness. Despite the large number of genes identified, only ~ 60% of cases receive a genetic diagnosis using targeted-sequencing.
María González-del Pozo+7 more
doaj +2 more sources
Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary Algorithms [PDF]
Diversity is an important factor in evolutionary algorithms to prevent premature convergence towards a single local optimum. In order to maintain diversity throughout the process of evolution, various means exist in literature.
Fortin Félix-Antoine+3 more
core +2 more sources
Guided-Mutation Genetic Algorithm for Mobile IoT Network Relay [PDF]
The Internet of Things (IoT) is a communication scheme which allows various objects to exchange several types of information, enabling functions such as home automation, production management, healthcare, etc.
Gyupil Kam, Kiseop Chung
doaj +2 more sources