Research Article
A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA
Algorithm 5
Update of
with the individuals of
1: Choose P (t) According to an exponential distribution () | 2: if Front (t) then | 3: if P (t): Front (t) then The search for starts from | 4: | 5: return | 6: else | 7: | 8: if then | 9: if then The search for starts from | 10: | 11: return | 12: end if | 13: else | 14: if then | 15: | 16: return | 17: end if | 18: end if | 19: end if | 20: =Random() Random selection of an individual from | 21: | 22: else | 23: if P (t): then The search for starts from | 24: | 25: end if | 26: end if |
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