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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
02057active flower
11949quality 91%
22172quality 61%
32019quality 82%
41886global best
52615quality 0%
62102quality 70%
72064quality 76%
● 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
1886.3
global steps
0
local steps
0
~80% global / 20% local
Balanced population size
cities: 12flowers: 8p: 0.80β (Lévy): 1.5