Genetic algorithm with adaptive elitism-based immigrants for dynamic optimization problems
Seung‐Kyu Lee, Byung-Ro Moon · 2009
We propose a genetic algorithm with adaptive elitism-based immigrants which tunes the balance between elitism-based immigrants and random immigrants by itself. Experimental results show that our genetic algorithm with adaptive elitism-based immigrants performs better than that with the elitism-based immigrants for onemax and produces comparable results for royal road and knapsack problems.