Study of Greedy Genetic Algorithm for Multi-Objective Optimization
2013 ◽
Vol 291-294
◽
pp. 2874-2877
Keyword(s):
Based on greedy policies, the greedy genetic algorithm (GGA) is proposed for multi-objective optimization problems. In the process of evolution, the greedy policies are used to initialize population, generate crossover and mutation operator, and add new individuals to the population every a few generations. All these procedures are designed to prevent premature convergence and improve the performance of Pareto front,which can be showed by examples of six test functions.
2014 ◽
Vol 945-949
◽
pp. 2241-2247
2005 ◽
Vol 82
(8)
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pp. 931-940
◽
Keyword(s):
2014 ◽
Vol 962-965
◽
pp. 2903-2908
2011 ◽
Vol 317-319
◽
pp. 794-798
Keyword(s):