An active olfaction implementation scheme based on evolutionary gradient search using a swarm of robots is put forward.
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。
A coupled optimization algorithm combined gradient search with chaotic search is proposed and its (convergence) is discussed.
提出一种混沌梯度组合全局优化算法，并对该算法进行了收敛性分析。
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.
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.
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。
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