B Cell–Inspired Algorithms - Immunological Computation: Theory and Applications - page 141

Fuzzy AINE()

1. Initialization

Create an initial network, create initial set of ARBs with their particular i based

on the input antigen (data) set

2. Antigenic presentation

While not stopping criterion met do

for each antigen do

2.1. compute network stimulation levels and

clonal selection

for each fuzzy ARB do

compute ARB stimulation level

update i

2.2. metadynamics

Allocate B cells to fuzzy ARB's based on stimulation level

Remove fuzzy ARBs with low stimulation level

2.3. clonal expansion

Select most stimulated fuzzy ARBS and reproduce

them in proportion to their stimulation level

2.4. somatic hypermutation

Mutate each fuzzy ARB inversely proportional to its

stimulation level

2.5. network update

select mutated fuzzy ARBs to be incorporated in the

network

Figure 5.11 The fuzzy AINE algorithm.