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Review

2019

Review

2019

With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications… Expand

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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… Expand

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Highly Cited

2000

Highly Cited

2000

Abstract A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this article. The searching… Expand

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Highly Cited

1999

Highly Cited

1999

Foundations of Genetic Algorithms. Combinatorial Optimization Problems. Multiobjective Optimization Problems. Fuzzy Optimization… Expand

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Highly Cited

1998

Highly Cited

1998

Introduction to Optimization The Binary Genetic Algorithm The Continuous Parameter Genetic Algorithm Applications An Added Level… Expand

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Highly Cited

1997

Highly Cited

1997

Foundations of Genetic Algorithms. Constrained Optimization Problems. Combinatorial Optimization Problems. Reliability… Expand

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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… Expand

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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… Expand

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Highly Cited

1992

Highly Cited

1992

If you are looking for Genetic Algorithms Data Structures Evolution Programs in pdf file you can find it here. This is the best… Expand

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Highly Cited

1986

Highly Cited

1986

The task of optimizing a complex system presents at least two levels of problems for the system designer. First, a class of… Expand

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