切换至中文 Over 1 million code package, 10 million code file free download
  • [Matlab] GAGJ).Rar improved GA. Fga.m for the main program of genetic algorithm using binary Gray code, Based on the roulette method of nonlinear ranking choice, uniform crossover and mutation, but also to introduce the inversion operation.
    Category: matlab Upload User:xcj851 Size:4K
  • [Matlab] genpls.zip GA- partial least squares method for quantitative analysis of GA- PLS
    Category: Mathimatics-Numerical algorithms Upload User:zhenlu1001 Size:41K
  • [Matlab] RGA_sscp.rar GA improved version of the algorithm, the biggest difference lies in its ability to ensure that each of the selected genes were better
    Category: matlab Upload User:wuwengu555 Size:8K
  • [Java/JSP] ArtificialStock.rar artificial source, with the GA (Genetic Algorithm) and ANN (Artificial Neural Network). Enclosing procedures detailed description, strongly recommended!
    Category: Java Develop Upload User:thermoway Size:88K
  • [Matlab] ag2.rar GA during the search solution space before the first data into the solution space of the genotype string genetic structure data
    Category: Search Engine Upload User:lun929 Size:1K
  • [Matlab] 20090918.rar ... estimation will usually result in local optimum genetic algorithm (GA) is suitable for solving complex combinatorial optimization question ... GMM can solve the problem of local optimal GMM/GA new algorithm, experimental results show that the Proposed ...
    Category: Other eBooks Upload User:lym5858 Size:4344K
  • [Java/JSP] GA.zip GA,algorthem foe mutiply constrains
    Category: Java Develop Upload User:wangroyal Size:6K
  • [Visual C++ (VC++)] GATest.rar Matlab Toolbox GA vc mixed with Genetic Algorithm FOSS
    Category: AI-NN-PR Upload User:xznfcp Size:62K
  • [C/C++] artificialintelligenceproblem.Rar the C language, debugging, and experiment with the source report
    Category: AI-NN-PR Upload User:qdkwsh Size:70K
  • [Visual C++ (VC++)] gacode-in-c.rar This a GA implementation using binary and real coded variables. Mixed variables can be used. Constraints can also be handled. All constraints must be greater-than-equal-to type (g gt;= 0) and normalized (see the sample problem in prob1 in objective()).
    Category: AI-NN-PR Upload User:tyshps Size:24K