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...
Saved in:
Main Authors: | Mohamed, Ali Wagdy, Suganthan, Ponnuthurai Nagaratnam |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/138543 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters
by: Gupta, Shubham, et al.
Published: (2022) -
An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization
by: Noor H. Awad, et al.
Published: (2020) -
Ensemble of differential evolution variants
by: Wu, Guohua, et al.
Published: (2020) -
Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options
by: Liu, Tianping, et al.
Published: (2022) -
A balanced fuzzy Cultural Algorithm with a modified Levy flight search for real parameter optimization
by: Mostafa Z. Ali, et al.
Published: (2020)