Research Article
Mutation Strategy Based on Step Size and Survival Rate for Evolutionary Programming
Algorithm 2
Algorithm to calculate the absolute value and the non-absolute value of the step size for a population.
| (1) | DIM/∗Set dimensional size∗/ | | (2) | POPNO/∗Set population size∗/ | | (3) | pop[POPNO 2][DIM]/∗Parents and offspring in present generation∗/ | | (4) | for i: POPNO do | | (5) | indStepSize = 0; | | (6) | for j: DIM do | | (7) | temp(i, j) = pop[i][j] - pop[POPNO + i][j];/∗Compute single step size for an individual∗/ | | (8) | indStepSize + = abs(temp(i, j));/∗Compute value of total absolute step size for overall individuals∗/ | | (9) | indStepSizeRaw + = temp(i, j);/∗Compute value of total step size for overall individuals∗/ | | (10) | end for | | (11) | popStepSize(POPNO + i) = indStepSize/DIM;/∗Compute mean absolute step size for pop[i]∗/ | | (12) | popStepSizeRaw(POPNO + i) = indStepSizeRaw/DIM;/∗Compute mean non-absolute step size for pop[i]∗/ | | (13) | end for |
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