Integrating Heterogeneous Ontologies in Asian Languages Through Compact Genetic Algorithm with Annealing Re-sample Inheritance Mechanism [PDF]
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
exaly +2 more sources
A study on fitness inheritance for enhanced efficiency in real-coded genetic algorithms [PDF]
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 ...
Afonso Lemonge
exaly +2 more sources
Cherubism, emphasizing diagnosis, therapeutic management strategies, and outcomes: a case series [PDF]
Background Cherubism is a rare fibro-osseous disorder that shows autosomal dominant inheritance, primarily caused by SH3-BP2 mutations. This study presents nine cases with a primary focus on therapeutic strategies and outcomes, including the use of ...
Pouyan Aminishakib +6 more
doaj +2 more sources
Genomic estimates of Identity-By-Descent relationships in large scale data sets [PDF]
Background Genomic relationship and inbreeding estimates are either based on genetic drift (e.g. the Genomic Relationship Matrix; GRM), homozygosity (e.g. Runs of Homozygosity; ROH), or Identity-By-Descent (IBD).
Theo Meuwisen, Xijiang Yu, Peer Berg
doaj +2 more sources
High-Dimensional Small-Sample Feature Selection Using Co-Evolutionary Ant Colony Optimization Inspired by Heterosis [PDF]
High-dimensional small-sample data are widely encountered in medical diagnosis, bioinformatics, and industrial inspection, where traditional feature selection methods often suffer from premature convergence and local optima. To address these issues, this
Chunli Xiang +6 more
doaj +2 more sources
Epigenetic opportunities for evolutionary computation
Evolutionary computation is a group of biologically inspired algorithms used to solve complex optimization problems. It can be split into evolutionary algorithms, which take inspiration from genetic inheritance, and swarm intelligence algorithms, that ...
Sizhe Yuen +2 more
doaj +1 more source
Intraoperative diagnosis of hypertrophic cardiomiopathy [PDF]
Hypertrophic cardiomyopathy (HCM) is the most com- mon genetic disease of the heart. Autosomal dominant inheritance leading to mutation in one of the numerous genes encoding for proteins in the myocardial sarcomere leads to abnormal myocyte growth with ...
I. Bekiroglu, R. Heng, J. D. Tobias
doaj +1 more source
The concept of genetic programming in organizing internal transport processes [PDF]
The paper presents proposition of using genetic algorithm to support organization of internal transport processes in logistics facilities. The organization of internal transport can be done through solving optimization task of scheduling internal ...
Konrad Lewczuk
doaj +1 more source
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.
Dimitris Kalles, Athanassios Papagelis
openaire +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 +1 more source

