International audiencePSO-2S is a multi-swarm PSO algorithm using charged particles in a partitioned search space for continuous optimization problems. In order to improve the performance of PSO-2S, this paper proposes a novel variant of this algorithm, called DPSO-2S, which uses the Dcluster neighborhood topologies to organize the communication networks between the particles. Experiments were conducted on a set of classical benchmark functions. The obtained results prove the effectiveness of the proposed algorithm
D. Tech. Electrical Engineering.Particle Swarm Optimisation (PSO) is based on a metaphor of social i...
This lecture presents the latest advancement of Particle Swarm Optimization (PSO) in asynchronous up...
AbstractMulti-objective optimization problem is reaching better understanding of the properties and ...
International audiencePSO-2S is a multi-swarm PSO algorithm using charged particles in a partitioned...
Abstract: A new particle optimization algorithm with dynamic topology is proposed based on a small w...
The particle swarm algorithm is a computational method to optimize a problem iteratively. As the nei...
This paper proposes a new variant of the PSO algorithm named Complex Neighborhood Particle Swarm Opt...
An algorithm with different parameter settings often performs differently on the same problem. The p...
Abstract: A new particle optimization algorithm with dynamic topology is proposed based on ‘small wo...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
This study proposes a Particle Swarm Optimization with Map Structure (PSOMS). All particles of PSOMS...
Particle Swarm Optimization (PSO) is often used for optimization problems due to its speed and relat...
This paper presents a novel Multi-swarm Particle Swarm Optimizer called PS(2)O, which is inspired by...
connected to adjacent particles by neighborhood relation, which dictates the topology, of the 2-dime...
A large number of problems can be cast as optimization problems in which the objective is to find a ...
D. Tech. Electrical Engineering.Particle Swarm Optimisation (PSO) is based on a metaphor of social i...
This lecture presents the latest advancement of Particle Swarm Optimization (PSO) in asynchronous up...
AbstractMulti-objective optimization problem is reaching better understanding of the properties and ...
International audiencePSO-2S is a multi-swarm PSO algorithm using charged particles in a partitioned...
Abstract: A new particle optimization algorithm with dynamic topology is proposed based on a small w...
The particle swarm algorithm is a computational method to optimize a problem iteratively. As the nei...
This paper proposes a new variant of the PSO algorithm named Complex Neighborhood Particle Swarm Opt...
An algorithm with different parameter settings often performs differently on the same problem. The p...
Abstract: A new particle optimization algorithm with dynamic topology is proposed based on ‘small wo...
This work deals with particle swarm optimization. The theoretic part briefly describes the problem o...
This study proposes a Particle Swarm Optimization with Map Structure (PSOMS). All particles of PSOMS...
Particle Swarm Optimization (PSO) is often used for optimization problems due to its speed and relat...
This paper presents a novel Multi-swarm Particle Swarm Optimizer called PS(2)O, which is inspired by...
connected to adjacent particles by neighborhood relation, which dictates the topology, of the 2-dime...
A large number of problems can be cast as optimization problems in which the objective is to find a ...
D. Tech. Electrical Engineering.Particle Swarm Optimisation (PSO) is based on a metaphor of social i...
This lecture presents the latest advancement of Particle Swarm Optimization (PSO) in asynchronous up...
AbstractMulti-objective optimization problem is reaching better understanding of the properties and ...