【免费】MATLAB算法实战应用案例精讲-成吉思汗鲨鱼优化器-MATLAB实现源代码资源-CSDN下载

共474个文件

txt：421个

m：48个

mexw64：3个

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《MATLAB算法实战应用案例精讲-成吉思汗鲨鱼优化器-MATLAB实现源代码》这个资源主要聚焦于MATLAB环境中的算法应用，特别是成吉思汗鲨鱼优化算法（Genghis Khan Shark Swarm Algorithm，简称GKSSA）。这是一种基于生物行为模拟的优化算法，灵感来源于鲨鱼在捕猎过程中的智能策略。本文将深入探讨该算法的原理、特点，并通过实际案例展示其在MATLAB中的实现与应用。成吉思汗鲨鱼优化算法是近年来提出的一种新型全局优化方法，它模仿了鲨鱼在海洋生态系统中的狩猎行为。在自然界中，鲨鱼以其敏锐的感知能力和高效的捕食策略闻名，GKSSA利用这些特性设计出了一种高效的搜索机制，用于解决复杂优化问题。算法的核心包括觅食、追击、回避和群游等阶段，这些阶段的动态转换使得算法具有良好的全局搜索能力和快速收敛性。在MATLAB中实现GKSSA，首先要理解算法的基本流程和参数设置。这包括鲨鱼的数量、搜索空间的定义、迭代次数、学习因子等关键参数。MATLAB作为强大的数值计算和仿真平台，提供了丰富的数学函数库和用户友好的编程环境，非常适合进行此类算法的开发和测试。在实际案例中，GKSSA可能应用于各种领域，如工程设计优化、函数拟合、图像处理、机器学习模型参数调优等。例如，可以使用GKSSA优化电力系统的调度问题，寻找最低的运行成本；或者在机器学习中，调整神经网络的权重和偏置，以提高模型的预测精度。MATLAB源代码会详细展示如何构建问题的数学模型，设置优化目标和约束条件，以及如何初始化和运行GKSSA算法。在分析和评估算法性能时，通常会对比其他知名优化算法，如遗传算法、粒子群优化算法等。通过对比实验，可以观察GKSSA在不同问题上的解决方案质量和收敛速度，从而验证其优势和适用场景。此外，源代码中可能会包含详细的性能指标，如平均误差、最优解的稳定性以及计算时间等。这个资源不仅提供了对成吉思汗鲨鱼优化算法的理论介绍，还提供了MATLAB实现的详细步骤和案例，对于想要学习和应用这种优化算法的工程师和科研人员来说，是非常宝贵的参考资料。通过深入理解和实践，读者不仅可以掌握一种新的优化工具，还能提升在MATLAB环境中解决实际问题的能力。

收起资源包目录

MATLAB算法实战应用案例精讲-成吉思汗鲨鱼优化器-MATLAB实现源代码（474个子文件）

cec22_func.cpp 24KB

cec19_func.cpp 16KB

MBF.m 11KB

main.m 9KB

main.m 8KB

AFSA.m 6KB

FFA.m 6KB

YSGA.m 6KB

GKSO.m 5KB

SCA.m 5KB

WSO.m 4KB

MRFO.m 4KB

TSO.m 4KB

SFO.m 4KB

BWO.m 4KB

COA.m 3KB

ROA.m 3KB

GTO.m 3KB

AVOA.m 3KB

levyStep.m 2KB

MGO.m 2KB

BDO.m 2KB

selection.m 2KB

ARO.m 2KB

levy.m 1KB

exploitation.m 1KB

GradientSearchRule.m 846B

crossover_continious.m 812B

elitism.m 683B

FindGlobalSoultion.m 671B

boundConstraint.m 554B

initialization.m 505B

Crossover.m 393B

init.m 363B

exploration.m 363B

Solution_Imp.m 361B

random_select.m 305B

Coefficient_Vector.m 283B

levyFlight.m 238B

Boundary_Check.m 218B

mutation_continious.m 216B

UpdateLocalMem.m 213B

boundaryCheck.m 190B

SpaceBound.m 182B

Geinitialization.m 181B

RouletteWheelSelection.m 117B

rouletteWheelSelection.m 102B

cec22_func.mexw64 40KB

cec22_test_func.mexw64 40KB

cec19_func.mexw64 32KB

M_30_D100.txt 2.39MB

M_21_D100.txt 2.39MB

M_25_D100.txt 2.39MB

M_27_D100.txt 2.39MB

M_26_D100.txt 2.39MB

M_23_D100.txt 2.39MB

M_24_D100.txt 2.39MB

M_29_D100.txt 2.39MB

M_28_D100.txt 2.39MB

M_22_D100.txt 2.39MB

M_28_D50.txt 611KB

M_24_D50.txt 611KB

M_25_D50.txt 611KB

M_26_D50.txt 611KB

M_30_D50.txt 611KB

M_27_D50.txt 611KB

M_21_D50.txt 611KB

M_22_D50.txt 611KB

M_23_D50.txt 611KB

M_29_D50.txt 611KB

M_1_D100.txt 244KB

M_14_D100.txt 244KB

M_17_D100.txt 244KB

M_2_D100.txt 244KB

M_16_D100.txt 244KB

M_5_D100.txt 244KB

M_15_D100.txt 244KB

M_19_D100.txt 244KB

M_7_D100.txt 244KB

M_3_D100.txt 244KB

M_11_D100.txt 244KB

M_4_D100.txt 244KB

M_9_D100.txt 244KB

M_10_D100.txt 244KB

M_20_D100.txt 244KB

M_8_D100.txt 244KB

M_6_D100.txt 244KB

M_18_D100.txt 244KB

M_13_D100.txt 244KB

M_12_D100.txt 244KB

M_26_D30.txt 220KB

M_28_D30.txt 220KB

M_27_D30.txt 220KB

M_23_D30.txt 220KB

M_25_D30.txt 220KB

M_29_D30.txt 220KB

M_21_D30.txt 220KB

共 474 条

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