20th International Conference on the Computation of Electromagnetic Fields (Compumag), Jun 28-Jul 2, 2015, McGill Univ, Montreal, CanadaDepartment of Electrical Engineerin
Particle swarm optimization (PSO) is a swarm intelligence-based metaheuristic algorithm inspired by ...
This paper presents the extension of the meta particle swarm optimization (Meta-PSO) evolutionary al...
Improvements that use new formulas and strategies for updating the particles ’ velocity and position...
Author name used in this publication: S. L. HoAuthor name used in this publication: G. Z. Ni2006-200...
Particle Swarm is a relatively novel approach for global stochastic optimization. In this paper some...
In the present paper, an improved particle swarm optimization (PSO) algorithm for multimodal functio...
To reduce the computation time needed in solving a practical optimization problem of electromagnetic...
Based on the refinement successes to particle swarm optimization (PSO) methods, which include, namel...
The development of optimization techniques for multiobjective problems in electromagnetics has been ...
Recently, the Particle Swarm Optimization (PSO) method has been successfully applied to many differe...
Particle Swarm Optimization (PSO) is a member of the swarm intelligence-based on a metaheuristic app...
D. Tech. Electrical Engineering.Particle Swarm Optimisation (PSO) is based on a metaphor of social i...
This work presents the application to electromagnetic data processing of the particle swarm optimiza...
Abstract: Electromagnetic design problems involve optimizing multiple parameters that are nonlinearl...
First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010 (1st. 2010...
Particle swarm optimization (PSO) is a swarm intelligence-based metaheuristic algorithm inspired by ...
This paper presents the extension of the meta particle swarm optimization (Meta-PSO) evolutionary al...
Improvements that use new formulas and strategies for updating the particles ’ velocity and position...
Author name used in this publication: S. L. HoAuthor name used in this publication: G. Z. Ni2006-200...
Particle Swarm is a relatively novel approach for global stochastic optimization. In this paper some...
In the present paper, an improved particle swarm optimization (PSO) algorithm for multimodal functio...
To reduce the computation time needed in solving a practical optimization problem of electromagnetic...
Based on the refinement successes to particle swarm optimization (PSO) methods, which include, namel...
The development of optimization techniques for multiobjective problems in electromagnetics has been ...
Recently, the Particle Swarm Optimization (PSO) method has been successfully applied to many differe...
Particle Swarm Optimization (PSO) is a member of the swarm intelligence-based on a metaheuristic app...
D. Tech. Electrical Engineering.Particle Swarm Optimisation (PSO) is based on a metaphor of social i...
This work presents the application to electromagnetic data processing of the particle swarm optimiza...
Abstract: Electromagnetic design problems involve optimizing multiple parameters that are nonlinearl...
First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010 (1st. 2010...
Particle swarm optimization (PSO) is a swarm intelligence-based metaheuristic algorithm inspired by ...
This paper presents the extension of the meta particle swarm optimization (Meta-PSO) evolutionary al...
Improvements that use new formulas and strategies for updating the particles ’ velocity and position...
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