In order to test the performance of the algorithm, several object functions are optimized including single-modal and multi-modal function.
为了测试该算法的性能，选择了几个目标函数进行优化，包括单峰函数和多峰函数。
Based on the analysis of multi-modal function optimization using evolutionary computation, a new multiple routes planner for unmanned air vehicles is proposed.
在分析多峰值函数优化问题的基础上，提出了一种基于进化计算的飞行器多航迹规划方法。
By simulating the antibody search mechanism, and combining the immune network theory, a new immune learning algorithm for multi-modal function optimization was presented.
模拟抗体搜索机制，结合免疫网络理论，提出一种新的优化算法。
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