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Particle Swarm Optimization

Particle Swarm Optimization. Study their behavior. How does a particle move ?. Component in the direction of previous motion. New Motion. Component in the direction of personal best. Component in the direction of global best. Component in the direction of local best. Local Best.

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Particle Swarm Optimization

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  1. Particle Swarm Optimization

  2. Study their behavior.....

  3. How does a particle move ? Component in the direction of previous motion New Motion Component in the direction of personal best Component in the direction of global best Component in the direction of local best Local Best Global Best Personal Best

  4. The Anatomy of a Particle • A particle is composed of : - three vectors : Position: Velocity: Best Position : - Two fitness values :

  5. The Neighborhood Principle 3 8 1 7 4 5 9 2 6

  6. Social Network Structure Ring Neighborhood Structure ( pbest version of PSO ) Star Neighborhood Structure ( gbest version of PSO )

  7. Position and Velocity Adjustment;

  8. Velocity Vector’s Parameters; c1 & c2 are positive acceleration constants. Inertia Weight :

  9. Initialize Swarm Mutate Swarm Evaluate Fitness Synchronous PSO Algorithm gbest Replacement Update Position with Mutation pbest Replacement Update Velocity gbest = Best Solution

  10. ,c1 & c2 Change the initial parametersand start with new parameters;

  11. ساختار کلي الگوريتم اجتماع پرندگان • ساختارکلی :

  12. ساختار کلي الگوريتم اجتماع پرندگان • انواع توپولوژي و اصل همسايگي • الگوريتم بهترين فردي • الگوريتم بهترين جهاني • الگوريتم بهترين محلي • ارزش‌گذاري • اندازه همسايگي • تغييرات در PSO

  13. ساختار کلي الگوريتم اجتماع پرندگان • تغييرات در PSO: • تغييرات انجام شده در PSO منوط به تغيير در پارامترهاي PSO يا تغييرات در ساختار (نوع الگوريتم) مي‌‌باشد: • تغييرات در پارامترهاي PSO • تغيير در ساختار الگوريتم

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