Chaotic attractors of discrete dynamical systems used in the core of evolutionary algorithms: state of art and perspectives

This paper delves into the intersection between discrete dynamical systems and bio-inspired metaheuristic algorithms. Chaos, an inherent phenomenon manifested by both continuous and discrete dynamic nonlinear systems has become an essential component of engineering design. This study examines the re...

Full description

Saved in:
Bibliographic Details
Published in:Journal of difference equations and applications 2023-12, Vol.29 (9-12), p.1202-1227
Main Authors: Zelinka, Ivan, Senkerik, Roman
Format: Article
Language:English
Subjects:
Algorithms
Biomimetics
chaotic maps
Complex systems
Design engineering
Design optimization
Deterministic chaos
discrete chaotic dynamical systems
Dynamical systems
evolution algorithms
Evolutionary algorithms
Heuristic methods
metaheuristics
Multiple criterion
Nonlinear dynamics
Nonlinear systems
swarm intelligence
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper delves into the intersection between discrete dynamical systems and bio-inspired metaheuristic algorithms. Chaos, an inherent phenomenon manifested by both continuous and discrete dynamic nonlinear systems has become an essential component of engineering design. This study examines the relationship between chaos and bio-inspired metaheuristic algorithms from two distinct angles: the presence of chaos within the realm of algorithms, and the application of bio-inspired algorithms for the identification, control, or synthesis of complex systems. Furthermore, this paper offers an in-depth exploration of the interplay between metaheuristics and complex nonlinear dynamics, including potential avenues for future research. The presented simulation studies, along with the design of objective functions for optimization and the implementation of metaheuristics, serve as a valuable foundation for subsequent experiments involving discrete nonlinear systems and complex systems with time delays. Such systems may benefit from multiparametric or multicriteria optimization approaches, paving the way for novel advancements in the field.
ISSN:1023-6198
1563-5120
DOI:10.1080/10236198.2023.2220416