This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is studied from the point of view of fractional calculus. In this study some initial swarm particles are randomly changed, for the system stimulation, and its response is compared with a non-perturbed reference response. The perturbation effect in the PS
One of the most well-known bio-inspired algorithms used in optimization problems is the particle sw...
Particle Swarm Optimization (PSO) [1] is a popular optimization technique for the solution of object...
This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, s...
This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is stu...
This paper studies the fractional dynamics during the evolution of a Particle Swarm Optimization (PS...
This article reports the study of fractional dynamics during the evolution of Particle Swarm Optimiz...
This work presents a new perspective of the particle swarm optimization algorithm where the integer ...
The paper addresses new perspective of the PSO including a fractional block. The local gain is repl...
This paper proposes a novel method for controlling the convergence rate of a particle swarm optimiza...
Mathematical modeling plays an important role in biology for describing the dynamics of infectious d...
Abstract- This contribution deals with identification of fractional-order dynamical systems. System ...
This paper focuses on a solution technique for global optimization problems, where the objective fun...
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similar...
In this paper, several feedback control methods are proposed for some real-life industrial processes...
The particle swarm optimization (PSO) is a popular optimization technique for the solution of object...
One of the most well-known bio-inspired algorithms used in optimization problems is the particle sw...
Particle Swarm Optimization (PSO) [1] is a popular optimization technique for the solution of object...
This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, s...
This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is stu...
This paper studies the fractional dynamics during the evolution of a Particle Swarm Optimization (PS...
This article reports the study of fractional dynamics during the evolution of Particle Swarm Optimiz...
This work presents a new perspective of the particle swarm optimization algorithm where the integer ...
The paper addresses new perspective of the PSO including a fractional block. The local gain is repl...
This paper proposes a novel method for controlling the convergence rate of a particle swarm optimiza...
Mathematical modeling plays an important role in biology for describing the dynamics of infectious d...
Abstract- This contribution deals with identification of fractional-order dynamical systems. System ...
This paper focuses on a solution technique for global optimization problems, where the objective fun...
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similar...
In this paper, several feedback control methods are proposed for some real-life industrial processes...
The particle swarm optimization (PSO) is a popular optimization technique for the solution of object...
One of the most well-known bio-inspired algorithms used in optimization problems is the particle sw...
Particle Swarm Optimization (PSO) [1] is a popular optimization technique for the solution of object...
This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, s...