两种带共轭梯度算子的新型智能优化算法

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1、华中科技大学硕士学位论文operatortoenhancetheglobalsearchability.Meanwhile,introducedanewoperatornamelyconjugategradientoperatortoimprovethelocalsearchabilityoftheoptimalburstpoint.InCGCSOalgorithm,introducedanewoperatornamelyconjugategradientoperatortoimprovethelocalsearchabilityoftheop

2、timalwater,sothatCGCSOalgorithm’sconvergencespeedandoptimizationprecisionareimproved.ExperimentalresultsofsomeconventionalbenchmarkfunctionsindicatethatCGESAachievesbetterperformancethanESA,andthatCGCSOalgorithmperformsbetterthantheoriginalCSOalgorithm,especiallyfortheunimod

3、alfunctions.Keywords：Explosionsearchalgorithm；Mutationoperator；CloudssearchOptimizationalgorithm；Theoptimalwater；Conjugategradientmethod；Particleswarmoptimizationalgorithm；Explosionsearchalgorithmwithconjugategradientoperator；Cloudssearchoptimizationalgorithmwithconjugategra

4、dientoperatorIII万方数据华中科技大学硕士学位论文目录摘要................................................................................................................IAbstract.............................................................................................................II1绪论1.1智

5、能优化算法出现的背景.....................................................................(1)1.2智能优化算法的介绍及研究现状.........................................................(1)1.3论文的组织结构......................................................................................(3)2三种智能优化算法的介绍2.1PS

6、O算法的介绍......................................................................................(4)2.2爆炸搜索算法[24].....................................................................................(5)2.3云搜索优化算法[25].................................................................

7、................(8)2.4本章小结................................................................................................(11)3近似共轭梯度法介绍3.1几种传统的优化算法............................................................................(12)3.2共轭梯度法的计算步骤..................................

8、.....................................(13)3.3差商代替导数的相关介绍....................