Coupling Particles Swarm Optimization for Multimodal Electromagnetic Problems
نویسندگان
چکیده
منابع مشابه
Fuzzy particle swarm optimization with nearest-better neighborhood for multimodal optimization
In the last decades, many efforts have been made to solve multimodal optimization problems using Particle Swarm Optimization (PSO). To produce good results, these PSO algorithms need to specify some niching parameters to define the local neighborhood. In this paper, our motivation is to propose the novel neighborhood structures that remove undesirable niching parameters without sacrificing perf...
متن کاملA Particle Swarm Optimization Algorithm for Mixed-Variable Nonlinear Problems
Many engineering design problems involve a combination of both continuous anddiscrete variables. However, the number of studies scarcely exceeds a few on mixed-variableproblems. In this research Particle Swarm Optimization (PSO) algorithm is employed to solve mixedvariablenonlinear problems. PSO is an efficient method of dealing with nonlinear and non-convexoptimization problems. In this paper,...
متن کاملModified Particle Swarm Optimization for Optimization Problems
In the paper a modified particle swarm optimization (MPSO) is proposed where concepts from firefly algorithm (FA) are borrowed to enhance the performance of particle swarm optimization (PSO). The modifications focus on the velocity vectors of the PSO, which fully use beneficial information of the position of particles and increase randomization item in the PSO. Finally, the performance of the p...
متن کاملAutonomous Particles Groups for Particle Swarm Optimization
In this paper a modified Particle Swarm Optimization (PSO) algorithm called Autonomous Groups Particles Swarm Optimization (AGPSO) is proposed to further alleviate the two problems of trapping in local minima and slow convergence rate in solving high dimensional problems. The main idea of AGPSO algorithm is inspired by individuals’ diversity in bird flocking or insect swarming. In natural colon...
متن کاملHierarchical Particle Swarm Optimization Algorithm for Multimodal Function Optimization
In this paper, we propose a Hierarchical Particle Swarm Optimization (HPSO) algorithm model for multimodal function optimization. All particles will be classified into several groups, these groups operated at two levels: one level is to find location of global optima clusters with its particles; the other is to exactly distinguish multiple global optima in clusters. By this mechanism, algorithm...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Electrical Engineering and Technology
سال: 2010
ISSN: 1975-0102
DOI: 10.5370/jeet.2010.5.3.423