[Retracted] Protection and Inheritance of Traditional Culture in Urbanization Construction Based on Genetic Algorithm under the Concept of Environmental Protection [PDF]
Journal of Environmental and Public Health, 2022 Chinese traditional culture is a typical “moral culture,” and traditional morality is the core and essence of culture. However, in recent years, the phenomenon of following the trend of rural construction has been particularly serious, and many villages have lost their original features. To solve the above problems, the genetic algorithm can be used to
Lin Guo
semanticscholar +4 more sources
Lossless fitness inheritance in genetic algorithms for decision trees [PDF]
arXiv, 2006 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
Integrating Heterogeneous Ontologies in Asian Languages Through Compact Genetic Algorithm with Annealing Re-sample Inheritance Mechanism [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023 An ontology is a state-of-the-art knowledge modeling technique in the natural language domain, which has been widely used to overcome the linguistic barriers in Asian and European countries’ intelligent applications. However, due to the different knowledge backgrounds of ontology developers, the entities in the ontologies could be defined in different ...
Xingsi Xue, Wenyu Liu
semanticscholar +3 more sources
A New Supervised Learning Algorithm Based on Genetic Inheritance for Spiking Neural Networks
Journal of Physics: Conference Series, 2018 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
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
semanticscholar +5 more sources
Genetic heterogeneity in familial forms of genetic generalized epilepsy: from mono- to oligogenism [PDF]
Human GenomicsGenetic 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
Application of New Modified Genetic Algorithm in Inverse Calculation of Strong Source Location
Atmosphere, 2022 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
A study on fitness inheritance for enhanced efficiency in real-coded genetic algorithms [PDF]
2012 IEEE Congress on Evolutionary Computation, 2012 This paper presents a study on the use of fitness inheritance as a surrogate model to assist a genetic algorithm (GA) in solving optimization problems with a limited computational budget.We compared the impact to the evolutionary search introducing three surrogate models: (i) averaged inheritance, (ii) weighted inheritance and (iii) parental ...
Fonseca, Leonardo G. +2 more
openaire +4 more sources
Lossless fitness inheritance in genetic algorithms for decision trees [PDF]
Soft Computing, 2009 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 sufficient for fitness to be piecewise computed in a lossless fashion.
Dimitris Kalles, Athanasios Papagelis
openaire +4 more sources
Development of Adaptive Range Genetic Algorithms Considering Inheritance of Searching Range.
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C, 2002 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