混沌麻雀搜索算法matlab

混沌麻雀搜索算法是一种基于麻雀觅食行为和混沌优化算法的启发式优化算法。在matlab中，可以使用Sine混沌或Logistic混沌映射来改进麻雀搜索算法，并优化单目标优化问题。具体实现方法包括定义适应度函数、初始化种群和参数、实现麻雀搜索的移动过程、更新个体历史最优值和全局最优值等步骤。通过不断的探索和利用已知信息，混沌麻雀搜索算法能够有效地提高搜索效率，并在优化问题中发挥重要作用。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [基于Sine混沌的麻雀搜索算法优化matlab代码](https://blog.csdn.net/2301_79331230/article/details/132218791)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* [基于Logistic混沌映射改进的麻雀搜索算法SSA优化BP神经网络回归预测MATLAB代码](https://download.csdn.net/download/qq_57971471/87812757)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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