{"id":116599,"date":"2024-03-23T07:14:46","date_gmt":"2024-03-22T22:14:46","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/matlab%e3%81%a7%e9%81%ba%e4%bc%9d%e7%9a%84%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0%e3%82%92%e5%ae%9f%e8%a3%85%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/"},"modified":"2024-03-27T05:33:43","modified_gmt":"2024-03-26T20:33:43","slug":"matlab%e3%81%a7%e9%81%ba%e4%bc%9d%e7%9a%84%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0%e3%82%92%e5%ae%9f%e8%a3%85%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/matlab%e3%81%a7%e9%81%ba%e4%bc%9d%e7%9a%84%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0%e3%82%92%e5%ae%9f%e8%a3%85%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/","title":{"rendered":"MATLAB\u3067\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff08Genetic Algorithm\uff09\u306eMATLAB\u30b3\u30fc\u30c9\u3092\u5b9f\u88c5\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u624b\u9806\u306b\u5f93\u3044\u307e\u3059\u3002<\/p>\n

    \n
  1. \u521d\u671f\u96c6\u56e3\u306e\u521d\u671f\u5316\uff1a\u8907\u6570\u306e\u500b\u4f53\uff08\u67d3\u8272\u4f53\uff09\u3092\u542b\u3080\u521d\u671f\u96c6\u56e3\u3092\u751f\u6210\u3057\u307e\u3059\u3002\u305d\u308c\u305e\u308c\u306e\u500b\u4f53\u306f\u907a\u4f1d\u5b50\u914d\u5217\u3067\u3042\u308a\u3001\u901a\u5e38\u306f2\u9032\u6570\u3067\u30a8\u30f3\u30b3\u30fc\u30c9\u3055\u308c\u307e\u3059\u3002<\/li>\n
  2. \u9069\u5fdc\u5ea6\u8a55\u4fa1\uff1a\u554f\u984c\u306e\u30b3\u30f3\u30c6\u30af\u30b9\u30c8\u306b\u5fdc\u3058\u3066\u9069\u5fdc\u5ea6\u95a2\u6570\u3092\u5b9a\u7fa9\u3057\u3001\u5404\u500b\u4f53\u306e\u9069\u5fdc\u5ea6\u3092\u8a55\u4fa1\u3059\u308b\u3002\u9069\u5fdc\u5ea6\u304c\u9ad8\u3044\u307b\u3069\u3001\u500b\u4f53\u306e\u9069\u5fdc\u80fd\u529b\u304c\u9ad8\u3044\u3053\u3068\u3092\u793a\u3059\u3002<\/li>\n
  3. \u500b\u4f53\u306e\u9069\u5fdc\u5ea6\u306b\u3088\u308a\u3001\u30eb\u30fc\u30ec\u30c3\u30c8\u9078\u629e\u3084\u30e9\u30f3\u30af\u9078\u629e\u306a\u3069\u306e\u9078\u629e\u6f14\u7b97\u5b50\u3092\u4f7f\u7528\u3057\u3066\u3001\u512a\u308c\u305f\u500b\u4f53\u3092\u89aa\u3068\u3057\u3066\u9078\u629e\u3057\u307e\u3059\u3002<\/li>\n
  4. \u9078\u51fa\u3057\u305f\u89aa\u500b\u4f53\u306e\u907a\u4f1d\u5b50\u3092\u3001\u4ea4\u5dee\u6f14\u7b97\u5b50\uff08\u4e00\u70b9\u4ea4\u5dee\u3001\u591a\u70b9\u4ea4\u5dee\u306a\u3069\uff09\u3092\u7528\u3044\u3066\u4ea4\u5dee\u3059\u308b\u3053\u3068\u3067\u3001\u65b0\u3057\u3044\u5b50\u500b\u4f53\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/li>\n
  5. \u7a81\u7136\u5909\u7570\u64cd\u4f5c\uff1a\u5b50\u5b6b\u500b\u4f53\u306e\u4e00\u90e8\u907a\u4f1d\u5b50\u306b\u5bfe\u3057\u3066\u7a81\u7136\u5909\u7570\u64cd\u4f5c\uff08\u5358\u7d14\u53cd\u8ee2\u3084\u30e9\u30f3\u30c0\u30e0\u5909\u63db\u306a\u3069\uff09\u3092\u884c\u3044\u3001\u96c6\u56e3\u306e\u591a\u69d8\u6027\u3092\u5897\u3084\u3059\u3002<\/li>\n
  6. \u89aa\u4e16\u4ee3\u3068\u5b50\u4e16\u4ee3\u3092\u878d\u5408\u3055\u305b\u3066\u65b0\u3057\u3044\u4e16\u4ee3\u3092\u4f5c\u308b\u3002<\/li>\n
  7. 2\uff5e6\u306e\u624b\u9806\u3092\u3001\u505c\u6b62\u6761\u4ef6(\u6700\u5927\u53cd\u5fa9\u56de\u6570\u3001\u6761\u4ef6\u306b\u5408\u3046\u500b\u4f53\u306e\u767a\u898b\u306a\u3069)\u3092\u6e80\u305f\u3059\u307e\u3067\u7e70\u308a\u8fd4\u3059\u3002<\/li>\n<\/ol>\n

    \u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e MATLAB \u306b\u3088\u308b\u5b9f\u88c5\u4f8b\u3092\u4ee5\u4e0b\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n

    % \u95ee\u9898\u76f8\u5173\u7684\u53c2\u6570<\/span>\r\nchromosomeLength = 10<\/span>;  % \u67d3\u8272\u4f53\u957f\u5ea6<\/span>\r\npopulationSize = 50<\/span>;    % \u79cd\u7fa4\u5927\u5c0f<\/span>\r\nmaxGenerations = 100<\/span>;   % \u6700\u5927\u8fed\u4ee3\u6b21\u6570<\/span>\r\n\r\n% \u521d\u59cb\u5316\u79cd\u7fa4<\/span>\r\npopulation = randi([0<\/span>,1<\/span>], populationSize, chromosomeLength);\r\n\r\n% \u8fed\u4ee3\u4f18\u5316<\/span>\r\nfor<\/span> generation = 1<\/span>:maxGenerations\r\n    % \u8ba1\u7b97\u9002\u5e94\u5ea6<\/span>\r\n    fitness = calculateFitness(population);\r\n    \r\n    % \u9009\u62e9\u64cd\u4f5c<\/span>\r\n    parents = selectParents(population, fitness);\r\n    \r\n    % \u4ea4\u53c9\u64cd\u4f5c<\/span>\r\n    offspring = crossover(parents);\r\n    \r\n    % \u53d8\u5f02\u64cd\u4f5c<\/span>\r\n    offspring = mutate(offspring);\r\n    \r\n    % \u66f4\u65b0\u79cd\u7fa4<\/span>\r\n    population = [parents; offspring];\r\nend<\/span>\r\n\r\n% \u6700\u4f18\u4e2a\u4f53<\/span>\r\nbestIndividual = population(find<\/span>(fitness == max<\/span>(fitness)), :);\r\n<\/code><\/pre>\n
    \u3053\u308c\u306f\u5358\u306a\u308b\u4e00\u4f8b\u306b\u904e\u304e\u305a\u3001\u5177\u4f53\u7684\u306a\u5b9f\u88c5\u306f\u3001\u5177\u4f53\u7684\u306a\u554f\u984c\u306b\u3088\u3063\u3066\u9069\u5207\u306b\u8abf\u6574\u3068\u6700\u9069\u5316\u3055\u308c\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002\u3053\u3053\u3067\u3001calculateFitness\u95a2\u6570\u306f\u9069\u5fdc\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u3001selectParents\u95a2\u6570\u306f\u9078\u629e\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u4f7f\u7528\u3055\u308c\u3001crossover\u95a2\u6570\u306f\u4ea4\u5dee\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u4f7f\u7528\u3055\u308c\u3001mutate\u95a2\u6570\u306f\u7a81\u7136\u5909\u7570\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u4f7f\u7528\u3055\u308c\u308b\u3002\u3053\u308c\u3089\u306e\u95a2\u6570\u306e\u5177\u4f53\u7684\u306a\u5b9f\u88c5\u306f\u3001\u554f\u984c\u306e\u7279\u6027\u306b\u3088\u3063\u3066\u8a2d\u8a08\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
    \u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff08Genetic Algorithm\uff09\u306eMATLAB\u30b3\u30fc\u30c9\u3092\u5b9f\u88c5\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u624b\u9806\u306b\u5f93\u3044\u307e\u3059\u3002 \u521d\u671f\u96c6\u56e3\u306e\u521d\u671f\u5316\uff1a\u8907\u6570\u306e\u500b\u4f53\uff08\u67d3\u8272\u4f53\uff09\u3092\u542b\u3080\u521d\u671f\u96c6\u56e3\u3092\u751f\u6210\u3057\u307e\u3059\u3002\u305d\u308c\u305e\u308c\u306e\u500b\u4f53\u306f\u907a\u4f1d\u5b50\u914d\u5217\u3067\u3042\u308a\u3001\u901a\u5e38\u306f […]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-116599","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\nMATLAB\u3067\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5 - Blog - 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