Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation

Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation

This paper presents enhanced fitness-adaptive differential evolution algorithm with novel mutation (EFADE) for solving global numerical optimization problems over continuous space. A new triangular mutation operator is introduced. It is based on the convex combination vector of the triplet defined b...

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Bibliographic Details
Main Authors: Mohamed, Ali Wagdy, Suganthan, Ponnuthurai Nagaratnam
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Electrical and electronic engineering
Evolutionary Computation
Global Optimization
Online Access:https://hdl.handle.net/10356/138543

Internet

https://hdl.handle.net/10356/138543

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