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Genetic operator

Known as: Genetic operators 
A genetic operator is an operator used in genetic algorithms to guide the algorithm towards a solution to a given problem. There are three main types… 
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Related topics

Related topics

19 relations
Chromosome (genetic algorithm)Crossover (genetic algorithm)Evolutionary programmingFitness function

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Shoot regeneration from cotyledonary leaf explants of Jatropha curcas: a biodiesel plant
A simple, high frequency, and reproducible method for plant regeneration through direct organogenesis from cotyledonary leaf… 
2007
2007
Morphological Description of Cervical Cell Images for the Pathological Recognition
— The tracking allows to detect the tumor affections of cervical cancer, it is particularly complex and consuming time, because… 
2006
2006
EVOLUTION-FUZZY RULE BASED SYSTEM WITH PARAMETERIZED CONSEQUENCES
While using automated learning methods, the lack of accuracy and poor knowledge generalization are both typical problems for a… 
2004
2004
A Memetic Algorithm for Protein Structure Prediction in a 3D-Lattice HP Model
This paper presents a memetic algorithm with self-adaptive local search, applied to protein structure prediction in an HP, cubic… 
Review
2004
Review
2004
Food Safety Concerns and Biotechnology: Consumers' Attitudes to Genetically Modified Products in Urban China
Studies have been conducted in many countries on the public acceptance of genetically modified (GM) food products. International… 
2003
2003
Data mining with genetic algorithms on binary trees
2001
2001
Hybrid symbiotic genetic optimisation for robust edge-based stereo correspondence
1999
1999
Large Populations Are Not Always The Best Choice In Genetic Programming
In genetic programming a general consensus is that the population should be as large as practically possible or sensible. In this… 
1997
1997
GA-RBF: A Self-Optimising RBF Network
The effects of a neural network’s topology on its performance are well known, yet the question of finding optimal configurations… 
1993
1993
Adaptive Genetic Algorithm for Optimal Printed Circuit Board Assembly Planning
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