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teeline · algorithms/fpa

Flower Pollination Algorithm

A population of candidate tours (flowers) evolves each step: with probability p a flower makes a long-range Lévy flight toward the global best; otherwise it cross-pollinates with two random flowers nearby. Drag the sliders to see how p and population size shape search.

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Flowers
01771active flower
12329quality 0%
21869quality 63%
32085quality 33%
42074quality 35%
52162quality 23%
61599global best
72160quality 23%
gbest tour active flower population city active flower global best
Press Step or Run to begin
global Lévy step   local ε step
step size
iteration
0
gbest distance
1598.9
global steps
0
local steps
0
~80% global / 20% local
Balanced population size
cities: 12flowers: 8p: 0.80β (Lévy): 1.5