In this paper, the utilization of chaos pseudorandom number generators based on three different chaotic maps to alter the behavior and overall performance of PSO algorithm is proposed. This paper presents results of testing the performance and behavior of the proposed algorithm on typical benchmark functions that represent unimodal and multimodal problems. The promising results are analyzed and discussed.Web of Science66213412
Since chaos systems generally have the intrinsic properties of sensitivity to initial conditions, to...
Part 2: AlgorithmsInternational audienceThis paper presents results of the utilization of selected d...
In this chapter a new approach for Particle Swarm Optimization (PSO) algorithm driven by chaotic pse...
In this paper, it is proposed the utilization of discrete chaotic Burgers map based chaos pseudo-ran...
In this paper, it is proposed the utilization of chaotic pseudo random number generators based on si...
In this paper, it is proposed the utilization of discrete Lozi map based chaos random number generat...
In this paper the performance of Multi-chaotic PSO algorithm is investigated using two shifted bench...
In this paper a new approach for PSO algorithm driven by chaotic pseudorandom number generator is in...
In this paper it is investigated the possibility of improving the performance of PSO algorithm with ...
In this paper, the novel concept of particle performance evaluation is introduced into the chaos dri...
In this paper several previously successfully tested approaches for PSO algorithm are merged. The Mu...
This paper deals with novel approach for hybridization of two scientific techniques: the evolutionar...
In this paper a previous successful research on chaos enhanced particle swarm optimization algorithm...
In this study the Particle Swarm Optimization (PSO) algorithm with two simultaneously used chaotic p...
This paper presents results of the utilization of four different discrete chaotic maps as pseudo-ran...
Since chaos systems generally have the intrinsic properties of sensitivity to initial conditions, to...
Part 2: AlgorithmsInternational audienceThis paper presents results of the utilization of selected d...
In this chapter a new approach for Particle Swarm Optimization (PSO) algorithm driven by chaotic pse...
In this paper, it is proposed the utilization of discrete chaotic Burgers map based chaos pseudo-ran...
In this paper, it is proposed the utilization of chaotic pseudo random number generators based on si...
In this paper, it is proposed the utilization of discrete Lozi map based chaos random number generat...
In this paper the performance of Multi-chaotic PSO algorithm is investigated using two shifted bench...
In this paper a new approach for PSO algorithm driven by chaotic pseudorandom number generator is in...
In this paper it is investigated the possibility of improving the performance of PSO algorithm with ...
In this paper, the novel concept of particle performance evaluation is introduced into the chaos dri...
In this paper several previously successfully tested approaches for PSO algorithm are merged. The Mu...
This paper deals with novel approach for hybridization of two scientific techniques: the evolutionar...
In this paper a previous successful research on chaos enhanced particle swarm optimization algorithm...
In this study the Particle Swarm Optimization (PSO) algorithm with two simultaneously used chaotic p...
This paper presents results of the utilization of four different discrete chaotic maps as pseudo-ran...
Since chaos systems generally have the intrinsic properties of sensitivity to initial conditions, to...
Part 2: AlgorithmsInternational audienceThis paper presents results of the utilization of selected d...
In this chapter a new approach for Particle Swarm Optimization (PSO) algorithm driven by chaotic pse...