{"id":477138,"date":"2023-08-09T09:08:09","date_gmt":"2023-08-09T09:08:09","guid":{"rendered":""},"modified":"2023-09-05T11:14:06","modified_gmt":"2023-09-05T11:14:06","slug":"evolutionary-computation","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/evolutionary-computation\/","title":{"rendered":"\u9032\u5316\u7684\u8a08\u7b97"},"content":{"rendered":"

\u9032\u5316\u7684\u8a08\u7b97\u306f\u3001\u81ea\u7136\u9078\u629e\u3084\u907a\u4f1d\u7684\u7d99\u627f\u306a\u3069\u306e\u751f\u7269\u5b66\u7684\u9032\u5316\u306e\u539f\u7406\u306b\u57fa\u3065\u3044\u305f\u554f\u984c\u89e3\u6c7a\u65b9\u6cd5\u8ad6\u306e\u96c6\u5408\u3092\u8868\u3059\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u5305\u62ec\u7684\u306a\u7528\u8a9e\u3067\u3059\u3002\u3053\u308c\u3089\u306e\u624b\u6cd5\u306f\u901a\u5e38\u3001\u6700\u9069\u5316\u554f\u984c\u3001\u6a5f\u68b0\u5b66\u7fd2\u3001\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30c3\u30af\u691c\u7d22\u306e\u89e3\u6c7a\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n

\u9032\u5316\u7684\u8a08\u7b97\u306e\u8d77\u6e90\u3068\u51fa\u73fe<\/h2>\n

\u9032\u5316\u7684\u8a08\u7b97\u306e\u6982\u5ff5\u306f\u3001\u73fe\u4ee3\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u306e\u51fa\u73fe\u3068\u307b\u307c\u540c\u6642\u671f\u306e 20 \u4e16\u7d00\u534a\u3070\u306b\u305d\u306e\u30eb\u30fc\u30c4\u3092\u898b\u3064\u3051\u307e\u3057\u305f\u3002 John Holland \u3084 Ingo Rechenberg \u306a\u3069\u306e\u521d\u671f\u306e\u5148\u99c6\u8005\u306f\u30011960 \u5e74\u4ee3\u3068 1970 \u5e74\u4ee3\u306b\u9032\u5316\u30d9\u30fc\u30b9\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u5b9f\u9a13\u3092\u958b\u59cb\u3057\u3001\u73fe\u4ee3\u7684\u306a\u30a2\u30d7\u30ed\u30fc\u30c1\u3078\u306e\u9053\u3092\u5207\u308a\u958b\u304d\u307e\u3057\u305f\u3002\u3053\u308c\u306b\u3064\u3044\u3066\u6700\u521d\u306b\u8a00\u53ca\u3055\u308c\u305f\u306e\u306f\u3001\u30ed\u30fc\u30ec\u30f3\u30b9 J. \u30d5\u30a9\u30fc\u30b2\u30eb\u304c\u9032\u5316\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u4f7f\u7528\u3057\u3066\u6709\u9650\u72b6\u614b\u30de\u30b7\u30f3\u3092\u8a2d\u8a08\u3059\u308b\u3068\u3044\u3046\u30a2\u30a4\u30c7\u30a2\u3092\u958b\u767a\u3057\u305f 1962 \u5e74\u306b\u9061\u308a\u307e\u3059\u3002<\/p>\n

\u9032\u5316\u7684\u8a08\u7b97\u306e\u63a2\u6c42: \u5fb9\u5e95\u3057\u305f\u5206\u6790<\/h2>\n

\u9032\u5316\u8a08\u7b97\u306e\u4e2d\u5fc3\u306b\u306f\u3001\u30c0\u30fc\u30a6\u30a3\u30f3\u306e\u9069\u8005\u751f\u5b58\u306e\u539f\u5247\u3068\u81ea\u7136\u9078\u629e\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u304c\u3042\u308a\u307e\u3059\u3002\u9032\u5316\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u78ba\u7387\u8ad6\u7684\u306a\u96c6\u56e3\u30d9\u30fc\u30b9\u306e\u65b9\u6cd5\u8ad6\u306b\u5f93\u3044\u3001\u7d44\u63db\u3048\u3001\u7a81\u7136\u5909\u7570\u3001\u9078\u629e\u3001\u751f\u5b58\u306e\u30d7\u30ed\u30bb\u30b9\u306b\u4f9d\u5b58\u3057\u3066\u3001\u554f\u984c\u7a7a\u9593\u306b\u304a\u3051\u308b\u30b0\u30ed\u30fc\u30d0\u30eb\u306a\u691c\u7d22\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u305d\u308c\u306f\u30e9\u30f3\u30c0\u30e0\u306a\u500b\u4f53\u7fa4\u304b\u3089\u59cb\u307e\u308a\u3001\u7af6\u4e89\u3068\u5236\u5fa1\u3055\u308c\u305f\u5909\u52d5\u306e\u30d7\u30ed\u30bb\u30b9\u3092\u901a\u3058\u3066\u6642\u9593\u306e\u7d4c\u904e\u3068\u3068\u3082\u306b\u9032\u5316\u3057\u307e\u3059\u3002<\/p>\n

\u9032\u5316\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4e3b\u306a\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n

    \n
  1. \u6bcd\u96c6\u56e3: \u7279\u5b9a\u306e\u554f\u984c\u306b\u5bfe\u3059\u308b\u6f5c\u5728\u7684\u306a\u89e3\u6c7a\u7b56\u306e\u30b0\u30eb\u30fc\u30d7\u3002<\/li>\n
  2. \u9069\u5fdc\u5ea6\u95a2\u6570: \u6bcd\u96c6\u56e3\u5185\u306e\u5404\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u306e\u54c1\u8cea\u307e\u305f\u306f\u9069\u5fdc\u5ea6\u3092\u8a55\u4fa1\u3059\u308b\u65b9\u6cd5\u3002<\/li>\n
  3. \u9078\u629e: \u751f\u6b96\u306b\u6700\u3082\u9069\u3057\u305f\u500b\u4f53\u3092\u9078\u629e\u3059\u308b\u30d7\u30ed\u30bb\u30b9\u3002<\/li>\n
  4. \u5909\u7570\u30aa\u30da\u30ec\u30fc\u30bf\u30fc: \u7a81\u7136\u5909\u7570 (\u30e9\u30f3\u30c0\u30e0\u306a\u5909\u66f4) \u307e\u305f\u306f\u7d44\u63db\u3048 (2 \u3064\u306e\u89aa\u306e\u5f62\u8cea\u306e\u6df7\u5408) \u306b\u3088\u3063\u3066\u65b0\u3057\u3044\u500b\u4f53\u3092\u4f5c\u6210\u3059\u308b\u30e1\u30ab\u30cb\u30ba\u30e0\u3002<\/li>\n<\/ol>\n

    \u5185\u90e8\u30e1\u30ab\u30cb\u30ba\u30e0: \u9032\u5316\u7684\u8a08\u7b97\u306e\u4ed5\u7d44\u307f<\/h2>\n

    \u9032\u5316\u7684\u8a08\u7b97\u306f\u5468\u671f\u7684\u306a\u30d7\u30ed\u30bb\u30b9\u306b\u5206\u985e\u3067\u304d\u307e\u3059\u3002<\/p>\n

      \n
    1. \u6f5c\u5728\u7684\u306a\u89e3\u306e\u6bcd\u96c6\u56e3\u3092\u521d\u671f\u5316\u3057\u307e\u3059\u3002<\/li>\n
    2. \u9069\u5fdc\u5ea6\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u6bcd\u96c6\u56e3\u5185\u306e\u5404\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u306e\u9069\u5fdc\u5ea6\u3092\u8a55\u4fa1\u3057\u307e\u3059\u3002<\/li>\n
    3. \u9069\u5fdc\u5ea6\u306b\u57fa\u3065\u3044\u3066\u89aa\u3092\u9078\u629e\u3057\u307e\u3059 (\u9069\u5fdc\u5ea6\u304c\u9ad8\u3044 = \u9078\u629e\u306e\u53ef\u80fd\u6027\u304c\u9ad8\u304f\u306a\u308a\u307e\u3059)\u3002<\/li>\n
    4. \u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u6f14\u7b97\u5b50 (\u7d44\u63db\u3048\u304a\u3088\u3073\/\u307e\u305f\u306f\u7a81\u7136\u5909\u7570) \u3092\u4f7f\u7528\u3057\u3066\u3001\u89aa\u304b\u3089\u5b50\u5b6b\u3092\u751f\u6210\u3057\u307e\u3059\u3002<\/li>\n
    5. \u5b50\u5b6b\u306e\u9069\u5fdc\u5ea6\u3092\u8a55\u4fa1\u3057\u307e\u3059\u3002<\/li>\n
    6. \u73fe\u5728\u306e\u500b\u4f53\u7fa4\u3068\u5b50\u5b6b\u304b\u3089\u6b21\u4e16\u4ee3\u306e\u500b\u4f53\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/li>\n
    7. \u505c\u6b62\u6761\u4ef6\u304c\u6e80\u305f\u3055\u308c\u308b\u307e\u3067\u30b9\u30c6\u30c3\u30d7 3 \uff5e 6 \u3092\u7e70\u308a\u8fd4\u3057\u307e\u3059 (\u6700\u5927\u4e16\u4ee3\u6570\u3001\u6e80\u8db3\u306e\u3044\u304f\u9069\u5fdc\u5ea6\u30ec\u30d9\u30eb\u306b\u9054\u3059\u308b\u306a\u3069)\u3002<\/li>\n<\/ol>\n

      \u9032\u5316\u7684\u8a08\u7b97\u306e\u4e3b\u306a\u7279\u5fb4<\/h2>\n

      \u9032\u5316\u7684\u8a08\u7b97\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u91cd\u8981\u306a\u7279\u5fb4\u306b\u3088\u3063\u3066\u7279\u5fb4\u4ed8\u3051\u3089\u308c\u307e\u3059\u3002<\/p>\n

        \n
      1. \u6bcd\u96c6\u56e3\u30d9\u30fc\u30b9: \u89e3\u6c7a\u7b56\u306e\u6bcd\u96c6\u56e3\u306b\u57fa\u3065\u3044\u3066\u52d5\u4f5c\u3059\u308b\u305f\u3081\u3001\u6700\u9069\u306a\u89e3\u6c7a\u7b56\u3092\u898b\u3064\u3051\u308b\u305f\u3081\u306b\u8907\u6570\u306e\u8a66\u884c\u304c\u884c\u308f\u308c\u307e\u3059\u3002<\/li>\n
      2. \u78ba\u7387\u7684: \u30e9\u30f3\u30c0\u30e0\u6027\u304c\u7d44\u307f\u8fbc\u307e\u308c\u3066\u304a\u308a\u3001\u5c40\u6240\u7684\u306a\u6700\u9069\u5024\u3078\u306e\u65e9\u3059\u304e\u308b\u53ce\u675f\u3092\u9632\u3050\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/li>\n
      3. \u4e26\u5217: \u8907\u6570\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3092\u4e26\u5217\u3067\u30b7\u30df\u30e5\u30ec\u30fc\u30c8\u3059\u308b\u305f\u3081\u3001\u4e26\u5217\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0 \u30b7\u30b9\u30c6\u30e0\u306b\u9069\u3057\u3066\u3044\u307e\u3059\u3002<\/li>\n
      4. \u9069\u5fdc\u6027: \u5909\u5316\u3059\u308b\u74b0\u5883\u306b\u9069\u5fdc\u3067\u304d\u308b\u305f\u3081\u3001\u52d5\u7684\u306a\u554f\u984c\u306b\u6700\u9069\u3067\u3059\u3002<\/li>\n
      5. \u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u5316: \u5927\u898f\u6a21\u3067\u8907\u96d1\u306a\u691c\u7d22\u7a7a\u9593\u3067\u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u5024\u3092\u898b\u3064\u3051\u308b\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ol>\n

        \u9032\u5316\u7684\u8a08\u7b97\u306e\u7a2e\u985e<\/h2>\n

        \u9032\u5316\u7684\u8a08\u7b97\u306f\u5927\u304d\u304f 4 \u3064\u306e\u30bf\u30a4\u30d7\u306b\u5206\u985e\u3067\u304d\u307e\u3059\u3002<\/p>\n

          \n
        1. \n

          \u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0 (GA): \u3053\u308c\u3089\u306f\u907a\u4f1d\u5b66\u3068\u81ea\u7136\u9078\u629e\u306e\u6982\u5ff5\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u3002\u305d\u308c\u3089\u306f\u3001\u7a81\u7136\u5909\u7570\u3001\u4ea4\u53c9 (\u7d44\u63db\u3048)\u3001\u9078\u629e\u306a\u3069\u306e\u6f14\u7b97\u5b50\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

        2. \n

          \u9032\u5316\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0 (EP): \u3053\u306e\u624b\u6cd5\u306f\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u69cb\u9020\u306e\u9032\u5316\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u3068\u4eba\u5de5\u77e5\u80fd\u306e\u554f\u984c\u3067\u4f1d\u7d71\u7684\u306b\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n

        3. \n

          \u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0 (GP): \u3053\u308c\u306f\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc \u30d7\u30ed\u30b0\u30e9\u30e0 (\u901a\u5e38\u306f\u30c4\u30ea\u30fc\u72b6\u306e\u30b0\u30e9\u30d5\u69cb\u9020) \u3092\u9032\u5316\u3055\u305b\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6982\u5ff5\u3092\u62e1\u5f35\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

        4. \n

          \u9032\u5316\u6226\u7565 (ES): \u3053\u308c\u306f\u30c9\u30a4\u30c4\u3067\u958b\u767a\u3055\u308c\u3001\u81ea\u5df1\u9069\u5fdc\u3092\u91cd\u8996\u3057\u3066\u304a\u308a\u3001\u6226\u7565\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u81ea\u4f53\u304c\u9032\u5316\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n\n\n\n\n\n\n\n\n
          \u30bf\u30a4\u30d7<\/th>\n\u4e3b\u306a\u7279\u5fb4<\/th>\n\u5fdc\u7528\u5206\u91ce<\/th>\n<\/tr>\n<\/thead>\n
          \u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/td>\n\u907a\u4f1d\u7684\u64cd\u4f5c<\/td>\n\u6700\u9069\u5316\u306e\u554f\u984c<\/td>\n<\/tr>\n
          \u9032\u5316\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0<\/td>\n\u30d7\u30ed\u30b0\u30e9\u30e0\u69cb\u9020\u306e\u9032\u5316<\/td>\n\u6a5f\u68b0\u5b66\u7fd2\u3001AI<\/td>\n<\/tr>\n
          \u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0<\/td>\n\u9032\u5316\u3059\u308b\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d7\u30ed\u30b0\u30e9\u30e0<\/td>\n\u30b7\u30f3\u30dc\u30ea\u30c3\u30af\u56de\u5e30\u3001\u6a5f\u68b0\u5b66\u7fd2<\/td>\n<\/tr>\n
          \u9032\u5316\u6226\u7565<\/td>\n\u81ea\u5df1\u9069\u5fdc<\/td>\n\u5b9f\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u6700\u9069\u5316<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u9032\u5316\u7684\u8a08\u7b97\u306b\u304a\u3051\u308b\u5fdc\u7528\u3001\u8ab2\u984c\u3001\u89e3\u6c7a\u7b56<\/h2>\n

          \u9032\u5316\u8a08\u7b97\u306f\u3001\u30d0\u30a4\u30aa\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3001\u5de5\u5b66\u8a2d\u8a08\u3001\u30b2\u30fc\u30e0\u30d7\u30ec\u30a4\u3001\u30ed\u30dc\u30c3\u30c8\u5de5\u5b66\u306a\u3069\u306e\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u5c40\u6240\u6700\u9069\u5316\u3078\u306e\u6642\u671f\u5c1a\u65e9\u306a\u53ce\u675f\u3001\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u306e\u9069\u5207\u306a\u9078\u629e\u3001\u9ad8\u6b21\u5143\u554f\u984c\u306b\u304a\u3051\u308b\u6b21\u5143\u6027\u306e\u546a\u3044\u306a\u3069\u3001\u3044\u304f\u3064\u304b\u306e\u8ab2\u984c\u304c\u3042\u308a\u307e\u3059\u3002\u7814\u7a76\u8005\u306f\u3001\u3053\u308c\u3089\u306e\u8ab2\u984c\u3092\u514b\u670d\u3059\u308b\u305f\u3081\u306b\u3001\u65b0\u3057\u3044\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u958b\u767a\u3068\u65e2\u5b58\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u5fae\u8abf\u6574\u306b\u4e00\u8cab\u3057\u3066\u53d6\u308a\u7d44\u3093\u3067\u3044\u307e\u3059\u3002<\/p>\n

          \u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03\u5206\u6790<\/h2>\n

          \u9032\u5316\u8a08\u7b97\u306f\u3001\u7c92\u5b50\u7fa4\u6700\u9069\u5316 (PSO) \u3084\u30a2\u30ea\u30b3\u30ed\u30cb\u30fc\u6700\u9069\u5316 (ACO) \u306a\u3069\u306e\u7fa4\u77e5\u80fd\u6280\u8853\u3068\u6df7\u540c\u3055\u308c\u308b\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002\u3069\u3061\u3089\u3082\u81ea\u7136\u304b\u3089\u30a4\u30f3\u30b9\u30d4\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u53d7\u3051\u3066\u304a\u308a\u3001\u6700\u9069\u5316\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u30a2\u30d7\u30ed\u30fc\u30c1\u304c\u7570\u306a\u308a\u307e\u3059\u3002\u9032\u5316\u7684\u8a08\u7b97\u306f\u751f\u7269\u5b66\u7684\u9032\u5316\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u304c\u3001\u7fa4\u77e5\u80fd\u306f\u5206\u6563\u578b\u306e\u81ea\u5df1\u7d44\u7e54\u5316\u30b7\u30b9\u30c6\u30e0\u306e\u96c6\u56e3\u7684\u884c\u52d5\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n\n\n\n
          \u6280\u8853<\/th>\n\u57fa\u790e<\/th>\n\u4e3b\u306a\u7279\u5fb4<\/th>\n\u5fdc\u7528\u5206\u91ce<\/th>\n<\/tr>\n<\/thead>\n
          \u9032\u5316\u7684\u8a08\u7b97<\/td>\n\u751f\u7269\u5b66\u7684\u9032\u5316<\/td>\n\u907a\u4f1d\u5b50\u64cd\u4f5c\u3001\u9069\u8005\u751f\u5b58<\/td>\n\u6700\u9069\u5316\u3001\u6a5f\u68b0\u5b66\u7fd2\u3001AI<\/td>\n<\/tr>\n
          \u7fa4\u308c\u306e\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9<\/td>\n\u5206\u6563\u30b7\u30b9\u30c6\u30e0\u306e\u96c6\u56e3\u7684\u884c\u52d5<\/td>\n\u96c6\u56e3\u884c\u52d5\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3<\/td>\n\u6700\u9069\u5316\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30eb\u30fc\u30c6\u30a3\u30f3\u30b0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u5c06\u6765\u306e\u5c55\u671b: \u9032\u5316\u7684\u8a08\u7b97<\/h2>\n

          \u8a08\u7b97\u6280\u8853\u304c\u9032\u6b69\u3059\u308b\u306b\u3064\u308c\u3066\u3001\u9032\u5316\u7684\u8a08\u7b97\u304c\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u5206\u6790\u3001\u6df1\u5c64\u5b66\u7fd2\u3001\u91cf\u5b50\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306a\u3069\u306e\u5206\u91ce\u3067\u65b0\u305f\u306a\u5fdc\u7528\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002\u9032\u5316\u7684\u8a08\u7b97\u3068\u4eba\u5de5\u77e5\u80fd\u306e\u4ea4\u5dee\u70b9\u306b\u3088\u308a\u3001\u6d17\u7df4\u3055\u308c\u305f\u9069\u5fdc\u6027\u306e\u3042\u308b\u52b9\u7387\u7684\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u30b7\u30b9\u30c6\u30e0\u304c\u751f\u307f\u51fa\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

          \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3068\u9032\u5316\u3059\u308b\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0<\/h2>\n

          \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u9032\u5316\u3057\u305f\u8a08\u7b97\u306e\u6069\u6075\u3092\u53d7\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u8907\u6570\u306e\u30b5\u30fc\u30d0\u30fc\u9593\u306e\u8ca0\u8377\u5206\u6563\u3067\u306f\u3001\u9032\u5316\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u7528\u3057\u3066\u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u306e\u5206\u6563\u3092\u6700\u9069\u5316\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u9045\u5ef6\u3092\u77ed\u7e2e\u3057\u3001\u30b5\u30fc\u30d0\u30fc\u306e\u904e\u8ca0\u8377\u3092\u56de\u907f\u3057\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5168\u4f53\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n

          \u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n
            \n
          1. \u907a\u4f1d\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u30d5\u30a3\u30fc\u30eb\u30c9 \u30ac\u30a4\u30c9<\/a><\/li>\n
          2. \u9032\u5316\u7684\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u6982\u8981<\/a><\/li>\n
          3. \u691c\u7d22\u3001\u6700\u9069\u5316\u3001\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3051\u308b\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/a><\/li>\n<\/ol>\n

            \u3053\u308c\u3089\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u63a2\u7d22\u3057\u3066\u3001\u9032\u5316\u7684\u8a08\u7b97\u306e\u9b45\u529b\u7684\u306a\u4e16\u754c\u3092\u3055\u3089\u306b\u6df1\u304f\u6398\u308a\u4e0b\u3052\u3066\u304f\u3060\u3055\u3044\u3002<\/p>","protected":false},"featured_media":477139,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477138","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Evolutionary Computation: An Essential Approach to Optimization Problems<\/mark>","faq_items":[{"question":"What is Evolutionary Computation?","answer":"

            Evolutionary Computation is a problem-solving methodology that's based on the principles of biological evolution, such as natural selection and genetic inheritance. It's primarily used in solving optimization problems, machine learning, and heuristic search.<\/p>"},{"question":"When was the concept of Evolutionary Computation first introduced?","answer":"

            The concept of Evolutionary Computation emerged in the mid-20th century, around the same time as the advent of modern computers. Lawrence J. Fogel developed the idea of using evolutionary programming to design finite state machines in 1962, marking the first known mention of it.<\/p>"},{"question":"How does Evolutionary Computation work?","answer":"

            Evolutionary Computation works by simulating the process of natural evolution. It begins with a population of potential solutions, evaluates their fitness, selects the fittest ones for reproduction, and creates new individuals through mutation or recombination. This process repeats until a stopping condition, such as reaching a satisfactory fitness level or a maximum number of generations, is met.<\/p>"},{"question":"What are the key features of Evolutionary Computation?","answer":"

            The key features of Evolutionary Computation include its population-based approach, stochastic nature, suitability for parallel computation, adaptability to changing environments, and ability to find the global optimum in a large, complex search space.<\/p>"},{"question":"What types of Evolutionary Computation exist?","answer":"

            There are four main types of Evolutionary Computation: Genetic Algorithms, Evolutionary Programming, Genetic Programming, and Evolution Strategies. Each of these types has its own features and areas of application, ranging from optimization problems to machine learning and artificial intelligence.<\/p>"},{"question":"What are some applications and challenges of Evolutionary Computation?","answer":"

            Evolutionary Computation is used in various fields such as bioinformatics, engineering design, game playing, and robotics. However, it does face some challenges, including the premature convergence to local optima, the need for careful selection of parameters, and the difficulty of solving high-dimensional problems.<\/p>"},{"question":"How does Evolutionary Computation compare to Swarm Intelligence techniques?","answer":"

            While both Evolutionary Computation and Swarm Intelligence techniques are nature-inspired and aim to solve optimization problems, they differ in their approaches. Evolutionary Computation is based on biological evolution, while Swarm Intelligence is based on the collective behavior of decentralized, self-organized systems.<\/p>"},{"question":"How are proxy servers related to Evolutionary Computation?","answer":"

            Proxy servers can benefit from Evolutionary Computation. For example, in load balancing across multiple servers, an evolutionary algorithm can optimize the distribution of network traffic. This can reduce latency, avoid server overload, and improve overall network performance.<\/p>"},{"question":"What are the future perspectives of Evolutionary Computation?","answer":"

            With advances in computation technology, Evolutionary Computation is expected to find new applications in areas like big data analysis, deep learning, quantum computing, and more. The intersection of evolutionary computation and artificial intelligence is likely to produce more sophisticated, adaptive, and efficient algorithms and systems.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477138","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477138\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/477139"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=477138"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}