2005: A Matlab Tour on Artificial Immune Systems

A Matlab Tour on Some AIS Algorithms BIC 2005: International Symposium on Bio-Inspired Computing Johor, MY, 10 th September 2005 Dr. Leandro Nunes de Castro [email_address] http://lsin.unisantos.b/lnunes Catholic University of Santos - UniSantos/Brazil

[object Object],[object Object],[object Object],[object Object],[object Object],Outline

CLONALG A Clonal Selection Algorithm

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],CLONALG

Affinity Maturation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],CLONALG: Algorithm

Test Problem I ,[object Object],[object Object]

[object Object],CLONALG - Performance I 00 generations 10 generations 20 generations 50 generations 75 generations 100 generations 150 generations 200 generations 250 generations

[object Object],[object Object],Test Problem II 200 individuals randomly distributed

[object Object],[object Object],CLONALG - Performance II GA CLONALG

[object Object],[object Object],Test Problem III Cities Optimal Path (48872 um) 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 7 1 8 14 2 15 3 4 11 12 13 17 23 27 30 26 19 21 24 29 28 25 22 20 18 16 6 9 10 5

[object Object],CLONALG - Performance III

CLONALG: Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

aiNet An Artificial Immune Network

aiNet: Basic Principles (I) ,[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],aiNet: Basic Principles (II)

aiNet: Training Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],aiNet: Arithmetic

Test Problem I ,[object Object],0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 x y Training Patterns

aiNet - Performance I Minimal Spanning Tree 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 Number of Clusters (Valleys) 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14

0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Final Network Structure aiNet - Performance I

[object Object],Test Problem II -2 -1 0 1 2 -2 0 2 4 -1.5 -1 -0.5 0 0.5 1 1.5

Number of Clusters (Valleys) Minimal Spanning Tree aiNet - Performance II 1 0 5 10 15 20 25 30 35 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9

-1 -0.5 0 0.5 1 -1 0 1 2 3 -1 -0.5 0 0.5 1 1.5 Final Network Structure aiNet - Performance II

aiNet: Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

ABNET ,[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],ABNET: Basic Functioning (I)

ABNET - Performance 2) Cross-reactivity (generalization) (a)   13.75% Noise tolerance: (b)   13.75%

ABNET: Discussion ,[object Object],[object Object],[object Object],[object Object]

Opt-aiNet An Optimization version of aiNet

Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Immune Networks ,[object Object]

opt-aiNet ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Related Strategies ,[object Object],[object Object],[object Object],[object Object]

Simulation Results (I) ,[object Object]

Simulation Results (II) ,[object Object]

Simulation Results (III) ,[object Object]

Opt-aiNet: Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Final Comments ,[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],Final Comments

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Final Comments

Final Comments ,[object Object],[object Object]

[email_address] Questions? Comments?

2005: A Matlab Tour on Artificial Immune Systems

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2005: A Matlab Tour on Artificial Immune Systems