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Title: 2000 - Adapting Particle Swarm Optimization to Dynamic Environments
Description: In this paper the authors propose a method for adapting the particle swarm optimizer for dynamic environments. The process consists of causing each particle to reset its record of its best position as the environment changes, to avoid making direction and velocity decisions on the basis of outdated information.
Directory: Computers/Artificial_Life/Particle_Swarm/Papers
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