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 becoming one of the most important swarm intelligent paradigms ...
Motivated by the concepts of quantum mechanics and particle swarm optimization (PSO), quantum-behave...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
The paper addresses new perspective of the PSO including a fractional block. The local gain is repl...
This work presents a new perspective of the particle swarm optimization algorithm where the integer ...
This article reports the study of fractional dynamics during the evolution of Particle Swarm Optimiz...
One of the most well-known bio-inspired algorithms used in optimization problems is the particle sw...
This paper proposes a novel method for controlling the convergence rate of a particle swarm optimiza...
This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is stu...
Mathematical modeling plays an important role in biology for describing the dynamics of infectious d...
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 stud...
This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, s...
The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Part...
Abstract:-: This paper presents a modified version of the Particle Swarm Optimization (PSO). In the ...
Particle swarm optimization (PSO) is becoming one of the most important swarm intelligent paradigms ...
Motivated by the concepts of quantum mechanics and particle swarm optimization (PSO), quantum-behave...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
The paper addresses new perspective of the PSO including a fractional block. The local gain is repl...
This work presents a new perspective of the particle swarm optimization algorithm where the integer ...
This article reports the study of fractional dynamics during the evolution of Particle Swarm Optimiz...
One of the most well-known bio-inspired algorithms used in optimization problems is the particle sw...
This paper proposes a novel method for controlling the convergence rate of a particle swarm optimiza...
This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is stu...
Mathematical modeling plays an important role in biology for describing the dynamics of infectious d...
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 stud...
This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, s...
The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Part...
Abstract:-: This paper presents a modified version of the Particle Swarm Optimization (PSO). In the ...
Particle swarm optimization (PSO) is becoming one of the most important swarm intelligent paradigms ...
Motivated by the concepts of quantum mechanics and particle swarm optimization (PSO), quantum-behave...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...