提出了基于进化梯度搜索的多机器人主动嗅觉的一种实现策略。
An active olfaction implementation scheme based on evolutionary gradient search using a swarm of robots is put forward.
仿真结果表明，耦合算法能够充分利用梯度搜索的快速性和混沌搜索全局优化的能力。
The simulation results show that the coupled algorithm is able to make full use of the quickness of gradient search and the ability of global optimization of chaotic search.
实验及结果分析表明，基于中值滤波和多向梯度搜索目标检测算法能实时有效地检测出复杂天空背景下的红外弱小目标。
The results of some physical experiments showed that this method can detect the weak and small infrared target under complex background effectively in real time.
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