Add to ORKGThe paper addresses new perspective of the PSO including a fractional block. The local gain is replaced by one of fractional order considering several previous positions of the PSO particles. The algorithm is evaluated for several well known test functions and the relationship between the fractional order and the convergence of the algorithm is observed. The fractional order influences directly the algorithm convergence rate demonstrating a large potencial for developments.N/
Particle Swarm Optimization (PSO) is a population based stochastic optimization technique which cons...
This article illustrates several applications of fractional calculus (FC). This paper investigates t...
Motivated by the concepts of quantum mechanics and particle swarm optimization (PSO), quantum-behave...
This work presents a new perspective of the particle swarm optimization algorithm where the integer ...
This paper proposes a novel method for controlling the convergence rate of a particle swarm optimiza...
The paper addresses new perspective of the PSO including a fractional block. The local gain is repl...
This paper studies the fractional dynamics during the evolution of a Particle Swarm Optimization (PS...
This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is stu...
One of the most well-known bio-inspired algorithms used in optimization problems is the particle sw...
The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Part...
This article reports the study of fractional dynamics during the evolution of Particle Swarm Optimiz...
Mathematical modeling plays an important role in biology for describing the dynamics of infectious d...
This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is stud...
This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, s...
In this paper, several feedback control methods are proposed for some real-life industrial processes...
Particle Swarm Optimization (PSO) is a population based stochastic optimization technique which cons...
This article illustrates several applications of fractional calculus (FC). This paper investigates t...
Motivated by the concepts of quantum mechanics and particle swarm optimization (PSO), quantum-behave...
This work presents a new perspective of the particle swarm optimization algorithm where the integer ...
This paper proposes a novel method for controlling the convergence rate of a particle swarm optimiza...
The paper addresses new perspective of the PSO including a fractional block. The local gain is repl...
This paper studies the fractional dynamics during the evolution of a Particle Swarm Optimization (PS...
This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is stu...
One of the most well-known bio-inspired algorithms used in optimization problems is the particle sw...
The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Part...
This article reports the study of fractional dynamics during the evolution of Particle Swarm Optimiz...
Mathematical modeling plays an important role in biology for describing the dynamics of infectious d...
This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is stud...
This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, s...
In this paper, several feedback control methods are proposed for some real-life industrial processes...
Particle Swarm Optimization (PSO) is a population based stochastic optimization technique which cons...
This article illustrates several applications of fractional calculus (FC). This paper investigates t...
Motivated by the concepts of quantum mechanics and particle swarm optimization (PSO), quantum-behave...