Swarm Intelligence Algorithms

Matlab source-code of bacterial foraging optimization 35

9: pp(d, k, j, i) = LB(d) + rand ∗ (U B(d) − LB(d))

10: end for

11: apply correction algorithm to i-th bacterium, if infeasible

12: calculate the fitness value of i-th bacterium

13: end for

14: end for

15: end for

16: Start the elimination or dispersal step...

17: for each l-th elimination-dispersal step do

18: for each k-th reproduction step do

19: for each j-th chemotactic step do

20: for each i-th bacterium do

21: Update the i-th bacterium by using (3.2) and (3.3), as

22: pp

i

(j + 1, k, l) = pp

i

(j, k, l) + C

i

·

∆

i

√

∆

T

i

·∆

i

23: apply correction algorithm to i-th bacterium, if infeasible

24: calculate the ...