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Particle Swarm

Population of simple agents interacting collectively to solve optimization problems by imitating the social behavior of natural swarms.

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Particle Velocity

Dynamic vector determining the displacement of a particle in the search space, updated at each iteration according to stochastic rules.

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Particle Position

Current coordinates of a particle in the search space representing a potential solution to the optimization problem.

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Cognitive Coefficient

Weight applied to the individual learning component, determining the attraction of a particle toward its personal best position.

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Social Coefficient

Parameter weighting the influence of the best solutions discovered by the neighborhood, promoting cooperation between particles.

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Particle Neighborhood

Subset of particles with which a given particle communicates to share information about optimal solutions.

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Swarm Convergence

Phenomenon where particles gradually gather around the optimal solution, indicating the stabilization of the algorithm.

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Swarm Diversity

Measure of the dispersion of particles in the search space, essential for avoiding premature local optima.

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Topologie de l'Essaim

Structure de connexion définissant les relations d'interaction entre particules, influençant la propagation de l'information.

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PSO Adaptatif

Version dynamique du PSO où les paramètres s'ajustent automatiquement pendant l'exécution selon les performances de l'essaim.

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