Settings-Free Hybrid Metaheuristic General Optimization Methods
Several population-based metaheuristic optimization algorithms have been proposed in the last decades, none of which are able either to outperform all existing algorithms or to solve all optimization problems according to the No Free Lunch (NFL) theorem. Many of these algorithms behave effectively,...
Main Authors: | Héctor Migallón, Akram Belazi, José-Luis Sánchez-Romero, Héctor Rico, Antonio Jimeno-Morenilla |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/8/7/1092 |
Similar Items
-
Enhanced Parallel Sine Cosine Algorithm for Constrained and Unconstrained Optimization
by: Akram Belazi, et al.
Published: (2022-04-01) -
Parallel GPU-Acceleration of Metaphorless Optimization Algorithms: Application for Solving Large-Scale Nonlinear Equation Systems
by: Bruno Silva, et al.
Published: (2024-06-01) -
Chaotic Jaya Approaches to Solving Electromagnetic Optimization Benchmark Problems
by: Leandro dos S. Coelho, et al.
Published: (2021-06-01) -
A Parallel Meta-Heuristic Approach to Reduce Vehicle Travel Time in Smart Cities
by: Hector Rico-Garcia, et al.
Published: (2021-01-01) -
A solar irradiance estimation technique via curve fitting based on dual-mode Jaya optimization
by: Ziqiang Bi, et al.
Published: (2023-06-01)