Results 1 to 10 of about 372,890 (287)

Evolutionary Schema of Modeling Based on Genetic Algorithms [PDF]

open access: diamondStudies in Logic, Grammar and Rhetoric, 2015
In this paper, I propose a populational schema of modeling that consists of: (a) a linear AFSV schema (with four basic stages of abstraction, formalization, simplification, and verification), and (b) a higher-level schema employing the genetic algorithm (
Stacewicz Paweł
doaj   +6 more sources

Tuning Schema Matching Systems using Parallel Genetic Algorithms on GPU [PDF]

open access: bronzeInternational Journal of Modern Education and Computer Science, 2010
Most recent schema matching systems combine multiple components, each of which employs a particular matching technique with several knobs. The multi- component nature has brought a tuning problem, that is to determine which components to execute and how to adjust the knobs (e.g., thresholds, weights, etc.) of these components for domain users.
Yuting Feng, Lei Zhao, Jiwen Yang
semanticscholar   +4 more sources

Problem-Independent Schema Synthesis for Genetic Algorithms

open access: closedAnnual Conference on Genetic and Evolutionary Computation, 2003
As a preprocessing for genetic algorithms, static reordering helps genetic algorithms effectively create and preserve high-quality schemata, and consequently improves the performance of genetic algorithms. In this paper, we propose a static reordering method independent of problem-specific knowledge.
Yong-Hyuk Kim   +2 more
semanticscholar   +4 more sources

Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover

open access: closedGenetic Programming and Evolvable Machines, 2004
Genetic Programming (GP) homologous crossovers are a group of operators, including GP one-point crossover and GP uniform crossover, where the offspring are created preserving the position of the genetic material taken from the parents. In this paper we present an exact schema theory for GP and variable-length Genetic Algorithms (GAs) which is ...
Riccardo Poli   +2 more
semanticscholar   +4 more sources

A corpus of GA4GH phenopackets: Case-level phenotyping for genomic diagnostics and discovery [PDF]

open access: yesHGG Advances
Summary: The Global Alliance for Genomics and Health (GA4GH) Phenopacket Schema was released in 2022 and approved by ISO as a standard for sharing clinical and genomic information about an individual, including phenotypic descriptions, numerical ...
Daniel Danis   +34 more
doaj   +2 more sources

The Empirical Study of the Schema Theory of Genetic Algorithm Based on 3-satisfiability Problem [PDF]

open access: goldProceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference, 2015
Yuan Zhang, Bingfen Li
openalex   +4 more sources

Proposing an efficient mathematical model for the continuous layout design in a cellular manufacturing system The real-case of BATA company [PDF]

open access: yesمدیریت تولید و عملیات, 2022
Purpose: The fundamental function of a cellular manufacturing system (CMS) is based on the definition and recognition of the type of similarity among the parts that should be produced in a planning period. Cell formation (CF) and cell/machine layouts are
Amir-Mohammad Golmohammadi   +2 more
doaj   +1 more source

Drone Control using the Coupling of the PID Controller and Genetic Algorithm

open access: yesCommunications, 2021
Due to their strong abilities and easy usage, unmanned aerial vehicles (UAVs) commonly named drones have found a place and merged in the different industrial sectors.
Mohamed Elajrami   +2 more
doaj   +1 more source

Performance Enhancement of Data Classification using Selectively Cloned Genetic Algorithm for Neural Network [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2010
The paper demonstrates performance enhancement using selective cloning on evolutionary neural network over the conventional genetic algorithm and neural back propagation algorithm for data classification.
Devinder Kaur, Praneeth Nelapati
doaj   +1 more source

Machine Learning–Based Overall Survival Prediction of Elderly Patients With Multiple Myeloma From Multicentre Real-Life Data

open access: yesFrontiers in Oncology, 2022
ObjectiveTo use machine learning methods to explore overall survival (OS)-related prognostic factors in elderly multiple myeloma (MM) patients.MethodsData were cleaned and imputed using simple imputation methods.
Li Bao   +12 more
doaj   +1 more source

Home - About - Disclaimer - Privacy