A new population initialisation method based on the Pareto 80/20 rule for meta‐heuristic optimisation algorithms
Abstract In this research, a new method for population initialisation in meta‐heuristic algorithms based on the Pareto 80/20 rule is presented. The population in a meta‐heuristic algorithm has two important tasks, including pushing the algorithm toward the real optima and preventing the algorithm fr...
Saved in:
Main Authors: | Mohammad Reza Hasanzadeh, Farshid Keynia |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-10-01
|
Series: | IET Software |
Subjects: | |
Online Access: | https://doi.org/10.1049/sfw2.12025 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sufficient statistics for the Pareto distribution parameter
by: I. S. Pulkin, et al.
Published: (2021-06-01) -
Multi‐objective multiperiod stable environmental economic power dispatch considering probabilistic wind and solar PV generation
by: Aamir Ali, et al.
Published: (2024-12-01) -
Automatic Threshold Selection for Generalized Pareto and Pareto–Poisson Distributions in Rainfall Analysis: A Case Study Using the NOAA NCDC Daily Rainfall Database
by: Roberto Mínguez
Published: (2025-01-01) -
Robust Forest Sound Classification Using Pareto-Mordukhovich Optimized MFCC in Environmental Monitoring
by: Ahmad Qurthobi, et al.
Published: (2025-01-01) -
Robust pareto multiobjective optimum design of FG-Beam under moving mass
by: Moein Abdollah-Salimi, et al.
Published: (2024-06-01)