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• Particle_swarm_optimization abstract "In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity. Each particle's movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.PSO is originally attributed to Kennedy, Eberhart and Shi and was first intended for simulating social behaviour, as a stylized representation of the movement of organisms in a bird flock or fish school. The algorithm was simplified and it was observed to be performing optimization. The book by Kennedy and Eberhart describes many philosophical aspects of PSO and swarm intelligence. An extensive survey of PSO applications is made by Poli.PSO is a metaheuristic as it makes few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions. However, metaheuristics such as PSO do not guarantee an optimal solution is ever found. More specifically, PSO does not use the gradient of the problem being optimized, which means PSO does not require that the optimization problem be differentiable as is required by classic optimization methods such as gradient descent and quasi-newton methods. PSO can therefore also be used on optimization problems that are partially irregular, noisy, change over time, etc.".
• Particle_swarm_optimization thumbnail PSO_Meta-Fitness_Landscape_(12_benchmark_problems).JPG?width=300.
• Particle_swarm_optimization wikiPageExternalLink ee5390cem.htm.
• Particle_swarm_optimization wikiPageExternalLink Poster_SVM.pdf.
• Particle_swarm_optimization wikiPageExternalLink 17407010.
• Particle_swarm_optimization wikiPageExternalLink www.particleswarm.info.
• Particle_swarm_optimization wikiPageExternalLink S0957417408007823.
• Particle_swarm_optimization wikiPageExternalLink particle-swarm-optimization.
• Particle_swarm_optimization wikiPageID "337083".
• Particle_swarm_optimization wikiPageRevisionID "603889692".
• Particle_swarm_optimization hasPhotoCollection Particle_swarm_optimization.
• Particle_swarm_optimization subject Category:Evolutionary_algorithms.
• Particle_swarm_optimization subject Category:Optimization_algorithms_and_methods.
• Particle_swarm_optimization type Abstraction100002137.
• Particle_swarm_optimization type Act100030358.
• Particle_swarm_optimization type Activity100407535.
• Particle_swarm_optimization type Algorithm105847438.
• Particle_swarm_optimization type Event100029378.
• Particle_swarm_optimization type EvolutionaryAlgorithms.
• Particle_swarm_optimization type OptimizationAlgorithmsAndMethods.
• Particle_swarm_optimization type Procedure101023820.
• Particle_swarm_optimization type PsychologicalFeature100023100.
• Particle_swarm_optimization type Rule105846932.
• Particle_swarm_optimization type YagoPermanentlyLocatedEntity.
• Particle_swarm_optimization comment "In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity.".
• Particle_swarm_optimization label "Optimisation par essaims particulaires".
• Particle_swarm_optimization label "Optimización por enjambre de partículas".
• Particle_swarm_optimization label "Optimização por enxame de partículas".
• Particle_swarm_optimization label "Particle Swarm Optimization".
• Particle_swarm_optimization label "Particle swarm optimization".
• Particle_swarm_optimization label "Partikelschwarmoptimierung".
• Particle_swarm_optimization label "Метод роя частиц".
• Particle_swarm_optimization label "استمثال عناصر السرب".
• Particle_swarm_optimization label "粒子群优化".
• Particle_swarm_optimization label "粒子群最適化".
• Particle_swarm_optimization sameAs Optimalizace_hejnem_částic.
• Particle_swarm_optimization sameAs Partikelschwarmoptimierung.
• Particle_swarm_optimization sameAs Optimización_por_enjambre_de_partículas.
• Particle_swarm_optimization sameAs Optimisation_par_essaims_particulaires.
• Particle_swarm_optimization sameAs Particle_Swarm_Optimization.
• Particle_swarm_optimization sameAs 粒子群最適化.
• Particle_swarm_optimization sameAs Optimização_por_enxame_de_partículas.
• Particle_swarm_optimization sameAs m.01xmwc.
• Particle_swarm_optimization sameAs Q2072794.
• Particle_swarm_optimization sameAs Q2072794.
• Particle_swarm_optimization sameAs Particle_swarm_optimization.
• Particle_swarm_optimization wasDerivedFrom Particle_swarm_optimization?oldid=603889692.
• Particle_swarm_optimization depiction PSO_Meta-Fitness_Landscape_(12_benchmark_problems).JPG.
• Particle_swarm_optimization isPrimaryTopicOf Particle_swarm_optimization.