Evolutionary Algorithms Enhanced with Quadratic Coding and Sensing Search for Global Optimization

Evolutionary Algorithms Enhanced with Quadratic Coding and Sensing Search for Global Optimization

Enhancing Evolutionary Algorithms (EAs) using mathematical elements significantly contribute to their development and control the randomness they are experiencing. Moreover, the automation of the primary process steps of EAs is still one of the hardest problems. Specifically, EAs still have no robus...

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Bibliographic Details
Main Authors: Abdel-Rahman Hedar, Wael Deabes, Majid Almaraashi, Hesham H. Amin
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Mathematical and Computational Applications
Subjects:
evolutionary algorithms
genetic algorithm
evolution strategies
regression
neural networks
quadratic coding
quadratic search
Online Access:https://www.mdpi.com/2297-8747/25/1/7

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https://www.mdpi.com/2297-8747/25/1/7

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