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Evolutionary Algorithms and Applications

TopicLeading institutions, researchers & key papers

Evolutionary Algorithms and Applications is a topic indexed in ScholarIQ from OpenAlex.

What is known about Evolutionary Algorithms and Applications?

ScholarIQrecord summary

This cluster of papers focuses on the application of genetic programming in machine learning, particularly in the areas of classification, feature selection, symbolic regression, and evolvable hardware. It explores the use of evolutionary algorithms and learning classifier systems to solve complex problems, with an emphasis on multiobjective optimization and semantic genetic programming.

How many works does Evolutionary Algorithms and Applications have?

ScholarIQindexed works

Evolutionary Algorithms and Applications has 80 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Evolutionary Algorithms and Applications?

ScholarIQopenalex

The OpenAlex for Evolutionary Algorithms and Applications is on the source record.

What are the most-cited papers on Evolutionary Algorithms and Applications?

ScholarIQmost cited works
Genetic Algorithms and Engineering Design
David W. Coit
The Engineering Economist. 19981,236 Citations
Prediction of surface roughness with genetic programming
M. Brezočnik, Miha Kovačić, Mirko Ficko
Journal of Materials Processing Technology. 2004190 CitationsOPEN ACCESS
A Hybrid Genetic Algorithm With Wrapper-Embedded Approaches for Feature Selection
Xiaoying Liu, Yong Liang, Sai Wang, Ziyi Yang, Han-Shuo Ye
IEEE Access. 2018147 CitationsOPEN ACCESS
Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers
Qian Zhang, Huiling Chen, Ali Asghar Heidari, Xuehua Zhao, Yingying Xu, Pengjun Wang, Yuping Li, Chengye Li
IEEE Access. 2019110 CitationsOPEN ACCESS
Parallel Genetic Algorithms on Programmable Graphics Hardware
Qizhi Yu, Chongcheng Chen, Zhigeng Pan
Lecture notes in computer science. 200579 Citations

Where is Evolutionary Algorithms and Applications research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Evolutionary Algorithms and Applications is open access?

ScholarIQopen access share
25%OPEN ACCESS
Gold
17%
Green
8%
Hybrid
0%
Bronze
0%
Closed
75%

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