Abstract
As a result of poor local research performance and short of the population diversity in niche genetic algorithm (NGA), an improved niche genetic algorithm (I-NGA) is presented in this paper. The algorithm adopts migration strategy, grading gradient method and gene equilibrium strategy, and it has better performance on accelerating the convergence rate and increasing the population diversity. This approach is used in Camel function for confirming. Through comparisons to NGA and I-NGA, the improved algorithm shows its better optimization.
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