Mathematical Problems in Engineering

Research Article

Two-Parameter Inversion of Fluid-Saturated Porous Medium with Niche Ant Colony Algorithm

Niching ant colony optimization based on the fitness-sharing principle.

procedure Initialization
(i) Parameters Initialization:: such as population size , the global transition
probability , the evaporation coefficient of pheromone , the proportional factor
, the feasible region , and the radius of niche (Obtained from the
Formula (8));
(ii) Population Initialization
for to do
; (The initial position of ants)
FitnessValue ; (The fitness value before sharing, where is
the optimization function)
end
end procedure
while stopping criterion not met do
De-rate quality;
Calculate transition probability;
Update positions of ants (in the feasible region);
Update pheromones;
end while
procedure De-rate quality
for to do

for to do

if then

else

endif

end for
(The fitness value after
sharing)
end for
end procedure
procedure Calculate transition probability
; (The initial pheromone)
;
For to do

end do
For to do
If

else

endif
if
;
elseif
;
endif
end do
end procedure
procedure Update positions of ants and pheromones
For to do
if

;
; (Update pheromones)
endif
end do
end procedure