Research Article
An Efficient Security System for Mobile Data Monitoring
Algorithm 1
Annealing evolution algorithm.
(1) Initialize the | | (2) FOR each generation DO | (3) FOR each individual DO | (4) calculate the fitness | (5) ENDFOR | (6) IF , THEN | (7) find the optimal set-partition. | (8) return | (9) ENDIF | (10) calculate | (11) IF , THEN | (12) calculate | (13) crossover operation with probability | (14) mutation operation with probability | (15) ELSE | (16) crossover operation with probability | (17) mutation operation with probability | (18) ENDIF | (19) generate next population | (20) IF , THEN | (21) switch as new | (22) annealing, , t = 0 | (23) IF | (24) stop and return set-partition. | (25) ENDIF | (26) GOTO 2 | (27) ENDIF | (28) ENDFOR |
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