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Particle Swarm Optimization

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Presentation on theme: "Particle Swarm Optimization"— Presentation transcript:

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

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

3 History of PSO Model of Flocks of Birds Early Inefficiencies
Implementation Process Expected Results My Project History of PSO Model of Flocks of Birds Early Inefficiencies Velocity Matching Craziness Refinement

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

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

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

7 My Project Social Interactions How do the particle talk to each other?
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 My Project – Current State
History Implementation Process Expected Results My Project My Project – Current State Rastrigin Cornfield Six Camel Hump Current Benchmark Functions

9 My Project – Problems FIPS (Fully Informed Particle Swarm)‏
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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