登录
首页 » matlab » MOEA-master

MOEA-master

于 2020-03-01 发布
0 189
下载积分: 1 下载次数: 3
我要下载

代码说明：

说明：  matlab是一种编程软件，也称矩阵实验室. 在数值计算方面做出了很大的贡献. 多目标优化问题是最优化领域中的一种优化方法，得出的解是折衷解. 多目标优化问题可以分为约束多目标优化问题和无约束多目标优化.在实际生活中，有很多问题都可以被视为多目标优化问题，如旅行商问题、工程问题，证券投资问题等，然而采用matlab编程软件具有很好的求解展示效果.(Matlab is a programming software, also known as a matrix laboratory. It has made great contributions in numerical calculations. Multi-objective optimization problems are an optimization method in the field of optimization, and the solutions obtained are compromise solutions. Optimization problems can be divided into constrained multi-objective optimization problems and unconstrained multi-objective optimization problems. In real life, many problems can be considered as multi-objective optimization problems, such as traveling salesman problem, engineering problem, securities investment problem, etc. The matlab programming software has a good solution display effect.)

文件列表：

MOEA-master, 0 , 2016-05-25
MOEA-master\.gitignore, 393 , 2016-05-25
MOEA-master\LICENSE, 1073 , 2016-05-25
MOEA-master\MODE, 0 , 2016-05-25
MOEA-master\MODE\MODE.m, 2531 , 2016-05-25
MOEA-master\MODE\evaluate.m, 2234 , 2016-05-25
MOEA-master\MODE\objectiveDescription.m, 1841 , 2016-05-25
MOEA-master\MOPSO, 0 , 2016-05-25
MOEA-master\MOPSO\CostFunction.m, 2005 , 2016-05-25
MOEA-master\MOPSO\CreateGrid.m, 641 , 2016-05-25
MOEA-master\MOPSO\DeleteOneRepMember.m, 650 , 2016-05-25
MOEA-master\MOPSO\DetermineDomination.m, 365 , 2016-05-25
MOEA-master\MOPSO\Dominates.m, 186 , 2016-05-25
MOEA-master\MOPSO\FindGridIndex.m, 581 , 2016-05-25
MOEA-master\MOPSO\Mutate.m, 464 , 2016-05-25
MOEA-master\MOPSO\ObjectiveDescription.m, 1092 , 2016-05-25
MOEA-master\MOPSO\PlotCosts.m, 339 , 2016-05-25
MOEA-master\MOPSO\RouletteWheelSelection.m, 190 , 2016-05-25
MOEA-master\MOPSO\SelectLeader.m, 648 , 2016-05-25
MOEA-master\MOPSO\mopso.m, 4129 , 2016-05-25
MOEA-master\NSGA-II, 0 , 2016-05-25
MOEA-master\NSGA-II\Readme.txt, 184 , 2016-05-25
MOEA-master\NSGA-II\TP_CONSTR.m, 394 , 2016-05-25
MOEA-master\NSGA-II\TP_CONSTR_objfun.m, 257 , 2016-05-25
MOEA-master\NSGA-II\TP_KUR.m, 394 , 2016-05-25
MOEA-master\NSGA-II\TP_KUR_objfun.m, 249 , 2016-05-25
MOEA-master\NSGA-II\TP_OSY.m, 408 , 2016-05-25
MOEA-master\NSGA-II\TP_OSY_objfun.m, 624 , 2016-05-25
MOEA-master\NSGA-II\TP_SCH.m, 386 , 2016-05-25
MOEA-master\NSGA-II\TP_SCH_objfun.m, 109 , 2016-05-25
MOEA-master\NSGA-II\TP_TNK.m, 391 , 2016-05-25
MOEA-master\NSGA-II\TP_TNK_objfun.m, 440 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT1.m, 403 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT1_objfun.m, 205 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT2.m, 403 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT2_objfun.m, 212 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT3.m, 403 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT3_objfun.m, 232 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT4.m, 415 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT4_objfun.m, 207 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT6.m, 403 , 2016-05-25
MOEA-master\NSGA-II\TP_ZDT6_objfun.m, 245 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results, 0 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\CONSTR.fig, 3176 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\KUR.fig, 2493 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\OSY.fig, 3344 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\SCH.fig, 2500 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\TNK.fig, 2937 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\ZDT1.fig, 2479 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\ZDT2.fig, 2476 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\ZDT3.fig, 2491 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\ZDT4.fig, 2443 , 2016-05-25
MOEA-master\NSGA-II\Test Problem Results\ZDT6.fig, 2210 , 2016-05-25
MOEA-master\NSGA-II\crossoverOp.m, 1118 , 2016-05-25
MOEA-master\NSGA-II\evaluate.m, 332 , 2016-05-25
MOEA-master\NSGA-II\extractPop.m, 1232 , 2016-05-25
MOEA-master\NSGA-II\initpop.m, 237 , 2016-05-25
MOEA-master\NSGA-II\mutationOp.m, 1700 , 2016-05-25
MOEA-master\NSGA-II\ndsort.m, 4583 , 2016-05-25
MOEA-master\NSGA-II\nsga2.m, 1191 , 2016-05-25
MOEA-master\NSGA-II\nsgaopt.m, 1033 , 2016-05-25
MOEA-master\NSGA-II\selectOp.m, 469 , 2016-05-25
MOEA-master\NSGA-II\varlimit.m, 190 , 2016-05-25
MOEA-master\OMOPSO, 0 , 2016-05-25
MOEA-master\OMOPSO\CostFunction.m, 2005 , 2016-05-25
MOEA-master\OMOPSO\CrowdingDistance.m, 864 , 2016-05-25
MOEA-master\OMOPSO\DeleteOneRepMember.m, 273 , 2016-05-25
MOEA-master\OMOPSO\DetermineDomination.m, 365 , 2016-05-25
MOEA-master\OMOPSO\Dominates.m, 186 , 2016-05-25
MOEA-master\OMOPSO\NonUniformMutation.m, 777 , 2016-05-25
MOEA-master\OMOPSO\OMOPSO.m, 4618 , 2016-05-25
MOEA-master\OMOPSO\OMOPSO_ZDT4.fig, 32992 , 2016-05-25
MOEA-master\OMOPSO\ObjectiveDescription.m, 1088 , 2016-05-25
MOEA-master\OMOPSO\PlotCosts.m, 339 , 2016-05-25
MOEA-master\OMOPSO\RouletteWheelSelection.m, 190 , 2016-05-25
MOEA-master\OMOPSO\UniformMutation.m, 517 , 2016-05-25
MOEA-master\README.md, 45 , 2016-05-25
MOEA-master\SMPSO, 0 , 2016-05-25
MOEA-master\SMPSO\SMPSO.m, 5731 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results, 0 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results\KUR.fig, 19793 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results\SCH.fig, 19801 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results\SRN.fig, 4247 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results\Test3.fig, 7873 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results\ZDT1.fig, 19897 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results\ZDT2.fig, 19883 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results\ZDT3.fig, 20211 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results\ZDT4.fig, 19912 , 2016-05-25
MOEA-master\SMPSO\Test Problem Results\ZDT6.fig, 19843 , 2016-05-25
MOEA-master\SMPSO\computeSpeed.m, 1918 , 2016-05-25
MOEA-master\SMPSO\crowdingDistanceAssignment.m, 1211 , 2016-05-25
MOEA-master\SMPSO\dominanceCompare.m, 1427 , 2016-05-25
MOEA-master\SMPSO\evaluate.m, 2370 , 2016-05-25
MOEA-master\SMPSO\evaluateConstraints.m, 880 , 2016-05-25
MOEA-master\SMPSO\leadersAdd.m, 1107 , 2016-05-25
MOEA-master\SMPSO\objectiveDescription.m, 1757 , 2016-05-25
MOEA-master\SMPSO\plotCosts.m, 565 , 2016-05-25
MOEA-master\SMPSO\polynomialMutation.m, 1986 , 2016-05-25

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • 参数辨识
    说明：  可以做到电池参数识别，特别是二阶rc电路的参数识别，(Can do battery parameter identification,In particular,parameter identification of second-order rc circuits.)
    2019-04-08 10:26:28下载
    积分：1
  • wavelet.Designer
    CRT需要添加很多设备时，正常要一个一个添加，这个工具可以用一个为模板(When CRT needs to add many devices, it is normal to add one by one. This tool can be used as a template.)
    2020-06-25 08:00:02下载
    积分：1
  • 这是一个农历的公历的小程序，MATLAB
    这是一个阴历转阳历的matlab小程序 -This is a lunar calendar to the Gregorian calendar applet matlab
    2022-01-25 17:42:15下载
    积分：1
  • UMAT-HILL48
    abaqus调用子程序umat关于hill屈服准则的程序，保密文件(abaqus procedure about umat )
    2020-10-26 22:29:59下载
    积分：1
  • 基于labwindows/cvi的udp通讯程序 源程序
    基于labwindows/cvi的udp通讯程序，实现对目标设备的udp通讯和数据处理。(UDP communication program based on LabWindows / CVI realizes UDP communication and data processing for target equipment.)
    2020-06-23 05:20:02下载
    积分：1
  • Modbus RTU 調適工具
    使用威倫人機編譯的Modbus 51調適工具 支持STC 國產PLC(Modbus 51 Adjustment Tool Using Willen Compiler Support STC Domestic PLC)
    2020-06-17 04:40:01下载
    积分：1
  • 断面确定_谱聚类算法
    能够递归实现输电断面的识别；功能强大；谱聚类算法，IEEE39,14节点测试通过。可以自由拓展，对电力系统研究方向的同学有用(It can recognize transmission section recursively, and has powerful function. The spectrum clustering algorithm has passed the test of IEEE39,14 nodes. It can be expanded freely and is useful for students who are studying the direction of power system research.)
    2019-05-05 17:28:04下载
    积分：1
  • 并联型有源电力滤波器控制方法的研究_宋辉
    并联型有源滤波器控制方法的研究 最全面的介绍 非常适合新手(Comprehensive detailed solution of harmonic suppression and reactive power compensation)
    2018-03-20 17:55:46下载
    积分：1
  • This is a wonderful network of educational software, extracting After installati...
    这是一非常棒的网络教学软件，解压安装后，每次启动可费使用12分钟。-This is a wonderful network of educational software, extracting After installation, each fee can start using 12 minutes.
    2022-03-19 22:37:06下载
    积分：1
  • hulf
    设计一个哈夫曼编码器 要求对一段数据序列进行哈夫曼编码，使得平均码长最短，输出各元素编码和编码后的数据序列。 ① 组成序列的元素是[0-9]这10个数字，每个数字其对应的4位二进制数表示。比如5对应0101，9对应1001。 ② 输入数据序列的长度为256。 ③ 先输出每个元素的编码，然后输出数据序列对应的哈夫曼编码序列。(Designing a Huffman Encoder Huffman coding is required for a data sequence to minimize the average code length and output the coded and coded data sequence of each element. (1) The elements that make up the sequence are the 10 digits [0-9], and each digit is represented by its corresponding 4-bit binary number. For example, 5 corresponds to 0101, 9 corresponds to 1001. (2) The length of the input data sequence is 256. (3) First output the encoding of each element, and then output the Huffman encoding sequence corresponding to the data sequence.)
    2019-06-19 21:49:58下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！