A Brief Overview of the Synergy Between Metaheuristics and Unconventional Dynamics

Abstract

This brief review paper focuses on the modern and original hybridization of the unconventional dynamics and the metaheuristic optimization algorithms. It discusses the concept of chaos-based optimization in general, i.e. the influence of chaotic sequences on the population diversity as well as at the metaheuristics performance. Further, the non-random processes used in evolutionary algorithms, and finally also the examples of the evolving complex network dynamics as the unconventional tool for the visualization and analysis of the population in popular optimization metaheuristics. This work should inspire the researchers for applying such methods and take advantage of possible performance improvements for the optimization tasks.

Chaotic Binarization Schemes for Solving Combinatorial Optimization Problems Using Continuous Metaheuristics

“…Authors who have incorporated chaotic behavior into their metaheuristics indicate that they improve the balance of exploration and exploitation because they obtain better results. On the other hand, Senkerik in [93] shows us a study on chaos dynamics in metaheuristics and tells us the choice of chaotic maps depends closely on the problem to be solved.…”