Niche Genetic Algorithm with Accurate Optimization Performance
Niche Genetic Algorithm with Accurate Optimization Performance
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发表时间：
2005
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通讯作者：
LIUJian－hua;YANDe-kun
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作者：
LIUJian－hua;YANDe-kun
基于排挤机制，提出了一种能够在进化过程中动态记录进化方向的小生境遗传算法。进化后的解通过沿着记录方向的局部搜索，可以大大提高解的精度。仿真结果表明，该算法不仅能保持种群多样性，而且能找到精确解。虽然与标准遗传算法相比，使用这种方法需要花费更多的时间，但它确实值得应用于某些必须满足高解精度要求的情况。
Based on crowding mechanism, a novel niche genetic algorithm was proposed which can record evolutionary direction dynamically during evolution. After evolution, the solutions's precision can be greatly improved by means of the local searching along the recorded direction. Simulation shows that this algorithm can not only keep population diversity but also find accurate solutions. Although using this method has to take more time compared with the standard GA, it is really worth applying to some cases that have to meet a demand for high solution precision.