Mutation (genetic algorithm)

Known as: Mutation (disambiguation) 
Mutation is a genetic operator used to maintain genetic diversity from one generation of a population of genetic algorithm chromosomes to the next… (More)
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Topic mentions per year

1941-2018
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Papers overview

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Highly Cited
2008
Highly Cited
2008
Heuristic optimization provides a robust and efficient approach for solving complex real-world problems. The focus of this… (More)
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Highly Cited
2004
Highly Cited
2004
An evolutionary recurrent network which automates the design of recurrent neural/fuzzy networks using a new evolutionary learning… (More)
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Highly Cited
2000
Highly Cited
2000
A novel algorithm, the immune genetic algorithm(IGA), is proposed based on the theory of immunity in biology which mainly… (More)
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Highly Cited
2000
Highly Cited
2000
Genetic algorithms are stochastic search approaches based on randomized operators, such as selection, crossover and mutation… (More)
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Highly Cited
1997
Highly Cited
1997
Genetic Algorithms are a class of powerful, robust search techniques based on genetic inheritance and the Darwinian metaphor of… (More)
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Highly Cited
1997
Highly Cited
1997
A genetic algorithm (GA) is a search and optimization method developed by mimicking the evolutionary principles and chromosomal… (More)
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Highly Cited
1997
Highly Cited
1997
Given a parallel program represented by a task graph, the objective of a scheduling algorithm is to minimize the overall… (More)
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Highly Cited
1994
Highly Cited
1994
B efore there were computers, there was thinking about the mind as a computer-as a machine. And in this way, computer science and… (More)
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Highly Cited
1993
Highly Cited
1993
Product unit neural networks are useful because they can handle higher order combinations of inputs. When trained using… (More)
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Highly Cited
1992
Highly Cited
1992
Genetic algorithms rely on two genetic operators crossover and mutation. Although there exists a large body of conventional… (More)
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