Paper Info
Title
A Homologous Gene Replacement based Genetic Algorithm.
Abstract
This paper introduces a new genetic operator, called homologous gene replacement (hGR) applied to the chromosome of genetic algorithm (GA). The new genetic algorithm is referred as hGRGA. This operator aims to extend the ground idea behind the biological evolutionary process based classical genetic algorithm that relies on localizing and utilizing good local schema present in the genes of a chromosome. The operator furbishes the chromosomes in gene level to boost their overall functionality. The proposed hGRGA is evaluated by widely-used benchmark functions. The simulation results was promising in terms of convergence speed and preciseness in finding optima.
Year
DOI
Venue
2016
10.1145/2908961.2909020
GECCO (Companion)
Keywords
Field
DocType
Genetic algorithm, homologous gene replacement, optimization, benchmark test functions
Convergence (routing),Chromosome (genetic algorithm),Genetic operator,Computer science,Meta-optimization,Algorithm,Genetic representation,Operator (computer programming),Population-based incremental learning,Genetic algorithm
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
2
Name
Order
Citations
PageRank
Sumaiya Iqbal1254.66
Md. Tamjidul Hoque2415.44