In this paper, an initial small-scale study is carried out. It is proposed that using the complex
network analysis it may be possible to make a classification of the fitness landscape type. A …

This paper presents an initial proposal of methodology for converting the inner dynamics of
PSO algorithm into complex network. The motivation is in the recent trend of adaptive …

This extended study presents a hybridization of particle swarm optimization (PSO) with
complex network construction and analysis. A partial population restart is performed in …

In this article we discuss relations between the so-called complex networks and dynamics of
evolutionary algorithms. The main aim of this article is to investigate whether it is possible to …

Particle swarm optimization (abbr. PSO) is one of the most effective optimization algorithms.
The PSO contains many control parameters, therefore, the performance of the searching …

Fitness landscape analysis has focussed on many different aspects of optimisation problems
such as ruggedness, neutrality, epistasis and evolvability. Although many techniques have …

This study presents a hybridization of Particle Swarm Optimization with a complex network
creation and analysis. A partial population is performed in certain moments of the run of the …

Particle swarm optimization (abbr. PSO) is one of the most effective optimization algorithms.
The PSO contains many control parameters. These causes, the performance of the …

Particle swarm optimiser and genetic algorithm populations are macro-organisms, which
perceive their environment as if filtered via a kernel. The kernel assimilates each individual's …

A proposal to build dynamic neighbourhoods in PSO based on mutual information is
presented in this paper. The relationship among the paths the particles follow in the search …