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Genetic algorithm

Known as: Genethc algorithm, Genetic algorithms, GATTO 
In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to… 
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Papers overview

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Highly Cited
2002
Highly Cited
2002
Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1… 
Highly Cited
1998
Highly Cited
1998
A novel and robust automated docking method that predicts the bound conformations of flexible ligands to macromolecular targets… 
Highly Cited
1998
Highly Cited
1998
Introduction to Optimization The Binary Genetic Algorithm The Continuous Parameter Genetic Algorithm Applications An Added Level… 
Review
1997
Review
1997
An Introduction to Genetic Algorithms is one of the rare examples of a book in which every single page is worth reading. The… 
Highly Cited
1996
Highly Cited
1996
1 GAs: What Are They?.- 2 GAs: How Do They Work?.- 3 GAs: Why Do They Work?.- 4 GAs: Selected Topics.- 5 Binary or Float?.- 6… 
Review
1996
Review
1996
From the Publisher: "This is the best general book on Genetic Algorithms written to date. It covers background, history, and… 
Highly Cited
1995
Highly Cited
1995
We analyze the performance of a Genetic Type Algorithm we call Culling and a variety of other algorithms on a problem we refer to… 
Review
1994
Review
1994
This tutorial covers the canonical genetic algorithm as well as more experimental forms of genetic algorithms, including parallel… 
Review
1990
Review
1990
This book sets out to explain what genetic algorithms are and how they can be used to solve real-world problems. The first… 
Review
1988
Review
1988
From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical…