Results 41 to 50 of about 788,042 (240)

ASSESSING SOFTWARE RELIABILITY USING GENETIC ALGORITHMS

The Journal of Engineering Research, 2019
The role of software reliability and quality improvement is becoming more important than any other issues related to software development. To date, we have various techniques that give a prediction of software reliability like neural networks, fuzzy ...
Rachna Jain, Arun Sharma
doaj   +1 more source

Evolutionary Theory and Computerised Genetic Algorithms [PDF]

, 2018
Neo-Darwinism can be usefully studied with the help of a Computerised Genetic Algorithm. Only a mathematical approach can reveal the shortcomings of the current dogma and point the way to a revised definition of the theory of ...
Hough, Derek Philip
core  

Comparative analysis of the method of assignment by classes in GAVaPS

Journal of Computer Science and Technology, 2000
Three alternatives within the method of assignment by classes are presented for the calculation of individuals lifetime in genetic algorithms with varying population size. (GAVaPS). In the proposed strategy (assignment by classes) individuals are grouped
Laura Cristina Lanzarini, Cecilia Verónica Sanz, Marcelo Naiouf, Fernando Romero   +3 more
doaj  

Qualified Genetic Algorithms for Images Smoothing [PDF]

المجلة العراقية للعلوم الاحصائية, 2008
Four types of algorithms are suggested in this paper to smooth images; three of them work in the special domain and the fourth works in the frequency domain.
doaj   +1 more source

Associative memory scheme for genetic algorithms in dynamic environments [PDF]

, 2006
Copyright @ Springer-Verlag Berlin Heidelberg 2006.In recent years dynamic optimization problems have attracted a growing interest from the community of genetic algorithms with several approaches developed to address these problems, of which the memory ...
A. Karaman, E.H.J. Lewis, J. Branke, S. Yang   +3 more
core   +4 more sources

Quantum Genetic Algorithms for Computer Scientists

Computers, 2016
Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural selection. They are popular heuristic optimisation methods based on simulated genetic mechanisms, i.e., mutation, crossover, etc.
Rafael Lahoz-Beltra
doaj   +1 more source

GENETIC ALGORITHMS OF WORK DISTRIBUTION

Advanced Engineering Research, 2011
The tasks of heterogeneous work distribution among heterogeneous executors taking into account operation and switching process costs are investigated. Genetic algorithms of work distribution that can be used for solving various practical tasks both in ...
Andrey R. Aidinyan, Olga L. Tsvetkova
doaj  

Local Crossover: A New Genetic Operator for Grammatical Evolution

Algorithms
The presented work outlines a new genetic crossover operator, which can be used to solve problems by the Grammatical Evolution technique. This new operator intensively applies the one-point crossover procedure to randomly selected chromosomes with the ...
Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis   +2 more
doaj   +1 more source

Hyper-selection in dynamic environments [PDF]

, 2008
This article is posted here with permission from IEEE - Copyright @ 2008 IEEEIn recent years, several approaches have been developed for genetic algorithms to enhance their performance in dynamic environments.
Tinos, R, Yang, S
core   +2 more sources

Genetic Algorithms as Optimalisation Procedures

Theory, Methodology, Practice, 2007
Drawing a parallel between biological and economic evolution provides an opportunity for the description of dynamic economic processes changing in time by using genetic algorithms.
Sándor Karajz
doaj