A Novel Niche Genetic Algorithm of Accurate Optimization Performance
Zhaozhong Zhang · 2004
Based on crowding mechanism, a novel niche genetic algorithm is proposed which can record evolutionary direction dynamically during evolution. After evolution completed, the local searching along the recorded direction can greatly improve solutions precision. Simulation shows that this algorithm can not only keep population diversity but also find accurate solutions. Although the algorithm may take much time than standard GA, it is really worth applying to cases that are not demanding for time-consuming while demanding for high solution precision.