According to the no-free-lunch theorem, there is no single meta-heuristic algorithm that can
optimally solve all optimization problems. This motivates many researchers to continuously …

This study addressed the complex challenges associated with landslide detection along the
Karakoram Highway (KKH), where tectonic events and data availability limitations posed …

In the recent years, complex networks and other network structures were successfully
combined with various evolutionary computational techniques (ECTs) to improve the …

The primary aim of this original work is to provide a more in-depth insight into the relations
between control parameters adjustments, learning techniques, inner swarm dynamics and …

This brief review paper focuses on the modern and original hybridization of the
unconventional dynamics and the metaheuristic optimization algorithms. It discusses the …

In this paper, a new modification for a modern and popular optimization Self Organizing
Migrating Algorithm (SOMA) is presented. SOMA resembles swarm-based algorithms …

A modification of particle swarm optimization (PSO) with soft reinitialization of particles was
developed in the article. It forces random particles (but not the best ones) to change their …

In this paper, we are presenting a method for controlling population diversity of popular
metaheuristic algorithm, which is the Firefly Algorithm (FA). Presented method is using the …

This study addressed the complex challenges associated with landslide detection along the
Karakoram Highway (KKH), where tectonic events and data availability limitations posed …

This paper is an introduction to a novel method for visualizing the dynamics of evolutionary
algorithms in the form of networks. The whole idea is based on the obvious similarity …