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Particle Swarm Optimization

Investigation of Social Interaction Between Agent Particles by: Kenneth Lee. Particle Swarm Optimization. History Implementation Process Expected Results My Project. An Overview of PSO. History Implementation Processes Expected Results My Project. History Implementation Process

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Particle Swarm Optimization

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  1. Investigation of Social Interaction Between Agent Particles by: Kenneth Lee Particle Swarm Optimization

  2. History Implementation Process Expected Results My Project An Overview of PSO • History • Implementation • Processes • Expected Results • My Project

  3. History Implementation Process Expected Results My Project History of PSO • Model of Flocks of Birds • Early Inefficiencies • Velocity Matching • Craziness • Refinement http://www.richard-seaman.com

  4. History Implementation Process Expected Results My Project Implementations of PSO • Used to find Function Minimums • N-Dimensional • Infinite search spaces • Neural Networking

  5. History Implementation Process Expected Results My Project Process of PSO • Initialize Swarm • Move Swarm • Calculate pbest and gbest • Adjust Velocities • Cognitive • Social • Convergence

  6. History Implementation Process Expected Results My Project Expected Results of PSO • Convergence • Correctness • Cheap • Memory • Time

  7. History Implementation Process Expected Results My Project My Project • Social Interactions • How do the particle talk to each other? • Can Different ways of talking improve performance? • Cost?

  8. History Implementation Process Expected Results My Project My Project – Current State Rastrigin Cornfield Six Camel Hump Current Benchmark Functions

  9. History Implementation Process Expected Results My Project My Project – Problems • FIPS (Fully Informed Particle Swarm)‏ • Converges on (0,0) instead of the minimum values • Not enough social interactions or benchmark testing functions

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