Research Article
Fuzzy Dynamic Parameter Adaptation in ACO and PSO for Designing Fuzzy Controllers: The Cases of Water Level and Temperature Control
| FOR each particle i | | FOR each dimension d | | Initialize position xid randomly | | Initialize velocity vid randomly | | END FOR | | END FOR | | Iteration k=1 | | DO | | FOR each particle i | | Calculate fitness value | | IF the fitness value is better than p_ in history | | Assign current fitness value as the p_ | | END IF | | IF the fitness value is better than g_ in history | | Assign current fitness value as the g_ | | END IF | | END FOR | | FOR each particle i | | FOR each dimension d | | Calculate w, c1 and c2 with the fuzzy inference system | | Calculate velocity using the equation | | vid (k+1) = w vid (k) + c1 Rand1 (pid - xid) + c2 Rand2 ( - xid) | | Update particle position using the equation | | xid (k+1) = xid (k) + vid (k+1) | | END FOR | | END FOR | | k = k + 1 | | WHILE Maximum iterations or mínimum error criteria are not attained |
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