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\u5728\u8be5\u7b97\u6cd5\u4e2d，\u6bcf\u4e00\u4e2a\u72ec\u7acb\u7684\u5019\u9009\u89e3\u88ab\u5f62\u8c61\u5730\u55bb\u4e3a\u4e00\u4e2a\u201c\u5b87\u5b99\u201d，\u5176\u6bcf\u4e00\u7ef4\u5750\u6807\u5bf9\u5e94\u7740\u51b3\u7b56\u53d8\u91cf\u7a7a\u95f4\u4e2d\u7684\u4e00\u4e2a\u5177\u4f53\u53d6\u503c\u3002\u5b87\u5b99\u7684\u4f18\u52a3\u7a0b\u5ea6\u7531\u5176\u9002\u5e94\u5ea6\u503c\u8bc4\u5224，\u9002\u5e94\u5ea6\u8d8a\u4f4e\u4ee3\u8868\u7efc\u5408\u7ecf\u6d4e\u6027\u8d8a\u4f73\u4e14\u7ea6\u675f\u6ee1\u8db3\u5ea6\u8d8a\u9ad8\u3002\u7b97\u6cd5\u8fed\u4ee3\u7684\u6838\u5fc3\u903b\u8f91\u56f4\u7ed5\u7740\u767d\u6d1e\u3001\u9ed1\u6d1e\u4e0e\u866b\u6d1e\u4e09\u79cd\u62bd\u8c61\u5929\u4f53\u673a\u5236\u5c55\u5f00：\u767d\u6d1e\u8d1f\u8d23\u5411\u5916\u55b7\u5c04\u7269\u8d28，\u9ed1\u6d1e\u5219\u8d2a\u5a6a\u5730\u5438\u7eb3\u7269\u8d28，\u4e8c\u8005\u7684\u4ea4\u4e92\u5b9e\u73b0\u4e86\u4f18\u826f\u89e3\u4fe1\u606f\u5728\u7fa4\u4f53\u4e2d\u7684\u5feb\u901f\u4f20\u64ad\u4e0e\u5171\u4eab；\u800c\u866b\u6d1e\u5219\u626e\u6f14\u7740\u6270\u52a8\u8005\u7684\u89d2\u8272，\u5b83\u80fd\u591f\u968f\u673a\u5730\u5c06\u67d0\u4e2a\u5b87\u5b99\u7684\u7279\u5b9a\u7ef4\u5ea6\u7275\u5f15\u81f3\u6700\u4f18\u5b87\u5b99\u9644\u8fd1\u6216\u968f\u673a\u9886\u57df，\u4ece\u800c\u6781\u5927\u5730\u4e30\u5bcc\u4e86\u79cd\u7fa4\u591a\u6837\u6027，\u6709\u6548\u907f\u514d\u4e86\u7b97\u6cd5\u8fc7\u65e9\u9677\u5165\u5c40\u90e8\u6781\u503c\u3002<\/p>\n

\u4e3a\u4e86\u52a8\u6001\u5e73\u8861\u7b97\u6cd5\u524d\u671f\u7684\u5e7f\u6cdb\u63a2\u7d22\u4e0e\u540e\u671f\u7684\u7cbe\u7ec6\u6316\u6398，\u7cfb\u7edf\u8bbe\u8ba1\u4e86\u4e24\u4e2a\u968f\u8fed\u4ee3\u8fdb\u7a0b\u81ea\u9002\u5e94\u8c03\u6574\u7684\u5173\u952e\u53c2\u6570\u3002\u5176\u4e00\u4e3a\u866b\u6d1e\u5b58\u5728\u6982\u7387，\u5b83\u968f\u7740\u4e16\u4ee3\u6570\u7684\u589e\u52a0\u800c\u7ebf\u6027\u9012\u5347，\u610f\u5473\u7740\u5728\u4f18\u5316\u540e\u671f\u5e94\u52a0\u5927\u5411\u6700\u4f18\u89e3\u5b66\u4e60\u7684\u529b\u5ea6；\u5176\u4e8c\u4e3a\u65c5\u884c\u8ddd\u79bb\u7387，\u5b83\u968f\u7740\u8fed\u4ee3\u7684\u63a8\u8fdb\u800c\u975e\u7ebf\u6027\u8870\u51cf，\u7f29\u5c0f\u4e86\u540e\u671f\u968f\u673a\u6270\u52a8\u7684\u5e45\u5ea6，\u4f7f\u5f97\u641c\u7d22\u6b65\u957f\u8d8b\u4e8e\u7cbe\u7ec6\u5316\u3002\u6bcf\u4e00\u4ee3\u8fdb\u5316\u7ed3\u675f\u540e，\u6240\u6709\u5b87\u5b99\u7684\u5404\u4e2a\u7ef4\u5ea6\u5747\u88ab\u5f3a\u5236\u7ea6\u675f\u5728\u9884\u8bbe\u7684\u4e0a\u4e0b\u9650\u8fb9\u754c\u4e4b\u5185，\u4ee5\u786e\u4fdd\u89e3\u59cb\u7ec8\u5177\u5907\u7269\u7406\u53ef\u5b9e\u73b0\u6027\u3002\u5bf9\u4e8e\u7ea6\u675f\u6761\u4ef6\u7684\u5904\u7406，\u672c\u6587\u91c7\u7528\u7ecf\u5178\u7684\u5916\u90e8\u7f5a\u51fd\u6570\u6cd5，\u5c06\u5404\u4e2a\u7b49\u5f0f\u4e0e\u4e0d\u7b49\u5f0f\u7ea6\u675f\u7684\u504f\u79bb\u7a0b\u5ea6\u52a0\u4ee5\u5e73\u65b9\u6c42\u548c，\u5e76\u8d4b\u4e88\u4e00\u4e2a\u8fdc\u5927\u4e8e\u76ee\u6807\u51fd\u6570\u91cf\u7ea7\u7684\u60e9\u7f5a\u7cfb\u6570\u540e\u9644\u52a0\u81f3\u9002\u5e94\u5ea6\u4e4b\u4e2d\u3002\u8fd9\u6837\u4e00\u6765，\u4efb\u4f55\u4e0d\u53ef\u884c\u89e3\u90fd\u5c06\u56e0\u5176\u6781\u9ad8\u7684\u60e9\u7f5a\u800c\u5931\u53bb\u7ade\u4e89\u529b，\u4ece\u800c\u9a71\u4f7f\u79cd\u7fa4\u5728\u8fdb\u5316\u538b\u529b\u4e0b\u5411\u53ef\u884c\u57df\u8fb9\u754c\u5185\u90e8\u9760\u62e2\u3002<\/p>\n

\u516d\u3001\u4f18\u5316\u7ed3\u679c\u7684\u540e\u5904\u7406\u5206\u6790\u4e0e\u53ef\u89c6\u5316\u9a8c\u8bc1<\/h5>\n

\u7b97\u6cd5\u8fed\u4ee3\u7ec8\u6b62\u540e，\u7cfb\u7edf\u4ece\u6700\u4f18\u5b87\u5b99\u4e2a\u4f53\u4e2d\u89e3\u7801\u51fa\u5b8c\u6574\u7684\u5bb9\u91cf\u914d\u7f6e\u65b9\u6848\u4e0e\u5168\u573a\u666f\u3001\u5168\u65f6\u6bb5\u7684\u8fd0\u884c\u7b56\u7565\u3002\u4e3a\u4e86\u76f4\u89c2\u9a8c\u8bc1\u6240\u6c42\u5f97\u65b9\u6848\u7684\u5408\u7406\u6027\u4e0e\u5de5\u7a0b\u53ef\u64cd\u4f5c\u6027，\u540e\u5904\u7406\u6a21\u5757\u81ea\u52a8\u89e6\u53d1\u4e00\u7cfb\u5217\u53ef\u89c6\u5316\u5206\u6790\u6d41\u7a0b\u3002\u9996\u5148，\u901a\u8fc7\u5bf9\u6bd4\u5404\u573a\u666f\u4e0b\u7684\u5149\u4f0f\u51fa\u529b\u3001\u7535\u8d1f\u8377\u4e0e\u6570\u636e\u8d1f\u8f7d\u7684\u65f6\u5e8f\u66f2\u7ebf，\u53ef\u76f4\u89c2\u68c0\u9a8c\u573a\u666f\u5212\u5206\u7684\u4ee3\u8868\u6027\u4e0e\u5dee\u5f02\u6027\u3002\u5176\u6b21，\u529f\u7387\u5e73\u8861\u5806\u53e0\u56fe\u6e05\u6670\u5730\u5c55\u793a\u4e86\u6bcf\u5c0f\u65f6\u5185\u7535\u7f51\u8d2d\u7535\u3001\u5149\u4f0f\u4f9b\u7535\u3001\u50a8\u80fd\u5145\u653e\u4e0e\u8d1f\u8377\u9700\u6c42\u4e4b\u95f4\u7684\u6570\u91cf\u5339\u914d\u5173\u7cfb，\u4efb\u4f55\u529f\u7387\u7f3a\u989d\u6216\u76c8\u4f59\u5747\u80fd\u4e00\u76ee\u4e86\u7136\u3002\u50a8\u80fd\u8fd0\u884c\u5b50\u56fe\u5219\u540c\u65f6\u7ed8\u5236\u4e86\u5145\u653e\u7535\u529f\u7387\u67f1\u72b6\u56fe\u4e0e\u8377\u7535\u72b6\u6001\u9762\u79ef\u66f2\u7ebf，\u5e76\u53e0\u52a0\u663e\u793a\u5b89\u5168\u4e0a\u4e0b\u9650\u53c2\u8003\u7ebf，\u4fbf\u4e8e\u8bc4\u4f30\u50a8\u80fd\u662f\u5426\u5168\u7a0b\u8fd0\u884c\u4e8e\u5065\u5eb7\u533a\u95f4\u3002\u6b64\u5916，CPU\u9891\u7387\u5360\u7528\u7387\u4e0e\u8ba1\u7b97\u80fd\u529b\u5360\u7528\u7387\u7684\u53cc\u8f74\u5bf9\u6bd4，\u63ed\u793a\u4e86\u670d\u52a1\u5668\u9891\u7387\u8c03\u8282\u5bf9\u4e1a\u52a1\u5904\u7406\u80fd\u529b\u7684\u5b9e\u65f6\u5f71\u54cd\u3002\u6700\u540e，\u6570\u636e\u4e2d\u5fc3\u5404\u7c7b\u529f\u8017\u7684\u5206\u89e3\u6784\u6210\u56fe\u76f4\u89c2\u5448\u73b0\u4e86\u56fa\u5b9a\u635f\u8017\u3001\u52a8\u6001\u8ba1\u7b97\u635f\u8017\u53ca\u8f85\u52a9\u51b7\u5374\u635f\u8017\u4e4b\u95f4\u7684\u5360\u6bd4\u5173\u7cfb，\u4e3a\u8282\u80fd\u8bca\u65ad\u63d0\u4f9b\u4e86\u89c6\u89c9\u4f9d\u636e\u3002\u8fd9\u4e00\u7cfb\u5217\u591a\u5c42\u6b21\u3001\u591a\u7ef4\u5ea6\u7684\u56fe\u5f62\u5316\u8f93\u51fa，\u4e0d\u4ec5\u662f\u7b97\u6cd5\u5bfb\u4f18\u7ed3\u679c\u7684\u6709\u673a\u5ef6\u4f38，\u66f4\u4e3a\u89c4\u5212\u51b3\u7b56\u4eba\u5458\u63d0\u4f9b\u4e86\u76f4\u89c2\u53ef\u4fe1\u7684\u6280\u672f\u8bba\u8bc1\u652f\u6491\u3002<\/p>\n

📚\u7b2c\u4e8c\u90e8\u5206\u2014\u2014\u8fd0\u884c\u7ed3\u679c<\/h3>\n

\"\"<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

\u90e8\u5206\u4ee3\u7801：<\/p>\n

%%\u00a0=====================\u00a04.\u00a0\u51b3\u7b56\u53d8\u91cf\u7f16\u7801\u4e0e\u8fb9\u754c\u00a0=====================
\n%\u00a0\u53d8\u91cf\u987a\u5e8f：
\n%\u00a0[M_server,\u00a0S_ESS,\u00a0S_PV,\u00a0
\n%\u00a0\u00a0\u573a\u666f1\u6240\u6709\u65f6\u6bb5:\u00a0P_buy(1,1:24),\u00a0P_PV_out(1,:),\u00a0P_PV_curt(1,:),\u00a0P_ESS_ch(1,:),\u00a0P_ESS_dis(1,:),\u00a0
\n%\u00a0\u00a0U_ESS_ch(1,:),\u00a0U_ESS_dis(1,:),\u00a0E_ESS(1,:),\u00a0P_IDC(1,:),\u00a0P_IT(1,:),\u00a0f_CPU(1,:),\u00a0d_tol(1,:),\u00a0E_store(1,:),
\n%\u00a0\u00a0\u573a\u666f2…\u00a0\u573a\u666f3…\u00a0\u573a\u666f4…]
\n%\u00a0\u6bcf\u4e2a\u573a\u666f\u6bcf\u4e2a\u65f6\u6bb5\u670913\u4e2a\u8fd0\u884c\u53d8\u91cf（\u51714*24*13=1248），\u52a0\u4e0a3\u4e2a\u89c4\u5212\u53d8\u91cf\u00a0=\u00a01251\u7ef4<\/p>\n

%\u00a0\u89c4\u5212\u53d8\u91cf
\nlb_plan\u00a0=\u00a0[0,\u00a00,\u00a00];\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0%\u00a0M_server,\u00a0S_ESS,\u00a0S_PV
\nub_plan\u00a0=\u00a0[1000,\u00a0100,\u00a050];\u00a0\u00a0\u00a0\u00a0%\u00a0\u4e0a\u9650<\/p>\n

%\u00a0\u8fd0\u884c\u53d8\u91cf：\u6bcf\u4e2a\u573a\u666f\u6bcf\u4e2a\u65f6\u6bb5，\u987a\u5e8f\u4e3a：
\n%\u00a0P_buy,\u00a0P_PV_out,\u00a0P_PV_curt,\u00a0P_ESS_ch,\u00a0P_ESS_dis,\u00a0U_ESS_ch,\u00a0U_ESS_dis,\u00a0E_ESS,\u00a0P_IDC,\u00a0P_IT,\u00a0f_CPU,\u00a0d_tol,\u00a0E_store
\nlb_run\u00a0=\u00a0[0,\u00a00,\u00a00,\u00a00,\u00a00,\u00a00,\u00a00,\u00a00,\u00a00,\u00a00,\u00a0f_min,\u00a00,\u00a00];
\nub_run\u00a0=\u00a0[100,\u00a0100,\u00a0100,\u00a0100,\u00a0100,\u00a01,\u00a01,\u00a0100,\u00a0100,\u00a0100,\u00a0f_max,\u00a05e6,\u00a0E_max];<\/p>\n

%\u00a0\u6784\u9020\u6240\u6709\u53d8\u91cf\u7684\u4e0a\u4e0b\u754c\u5411\u91cf
\ndim\u00a0=\u00a03\u00a0+\u00a0N_omega\u00a0*\u00a0N_t\u00a0*\u00a013;
\nlb\u00a0=\u00a0zeros(1,\u00a0dim);
\nub\u00a0=\u00a0zeros(1,\u00a0dim);
\nlb(1:3)\u00a0=\u00a0lb_plan;
\nub(1:3)\u00a0=\u00a0ub_plan;
\nidx_start\u00a0=\u00a04;
\nfor\u00a0omega\u00a0=\u00a01:N_omega
\n\u00a0\u00a0\u00a0\u00a0for\u00a0t\u00a0=\u00a01:N_t
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0idx\u00a0=\u00a0idx_start\u00a0+\u00a0(omega-1)*N_t*13\u00a0+\u00a0(t-1)*13\u00a0:\u00a0idx_start\u00a0+\u00a0(omega-1)*N_t*13\u00a0+\u00a0t*13\u00a0-1;
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0lb(idx)\u00a0=\u00a0lb_run;
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0ub(idx)\u00a0=\u00a0ub_run;
\n\u00a0\u00a0\u00a0\u00a0end
\nend<\/p>\n

%%\u00a0=====================\u00a05.\u00a0MVO\u7b97\u6cd5\u4e3b\u7a0b\u5e8f\u00a0=====================
\nN_pop\u00a0=\u00a050;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0%\u00a0\u5b87\u5b99\u4e2a\u6570
\nMax_iter\u00a0=\u00a0500;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0%\u00a0\u6700\u5927\u8fed\u4ee3\u6b21\u6570<\/p>\n

%\u00a0\u521d\u59cb\u5316\u79cd\u7fa4
\nUniverse\u00a0=\u00a0rand(N_pop,\u00a0dim)\u00a0.*\u00a0(ub\u00a0–\u00a0lb)\u00a0+\u00a0lb;
\nFitness\u00a0=\u00a0zeros(N_pop,\u00a01);<\/p>\n

fprintf('\u5f00\u59cbMVO\u4f18\u5316…\\\\n');
\nfor\u00a0iter\u00a0=\u00a01:Max_iter
\n\u00a0\u00a0\u00a0\u00a0for\u00a0i\u00a0=\u00a01:N_pop
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Fitness(i)\u00a0=\u00a0evaluate(Universe(i,:));
\n\u00a0\u00a0\u00a0\u00a0end
\n\u00a0\u00a0\u00a0\u00a0
\n\u00a0\u00a0\u00a0\u00a0[Fitness_sorted,\u00a0sorted_idx]\u00a0=\u00a0sort(Fitness);
\n\u00a0\u00a0\u00a0\u00a0Universe\u00a0=\u00a0Universe(sorted_idx,\u00a0:);
\n\u00a0\u00a0\u00a0\u00a0best_universe\u00a0=\u00a0Universe(1,\u00a0:);
\n\u00a0\u00a0\u00a0\u00a0best_fitness\u00a0=\u00a0Fitness_sorted(1);
\n\u00a0\u00a0\u00a0\u00a0
\n\u00a0\u00a0\u00a0\u00a0WEP\u00a0=\u00a00.2\u00a0+\u00a00.6\u00a0*\u00a0(iter\u00a0\/\u00a0Max_iter);
\n\u00a0\u00a0\u00a0\u00a0TDR\u00a0=\u00a01\u00a0–\u00a0(iter\u00a0\/\u00a0Max_iter)^(1\/6);
\n\u00a0\u00a0\u00a0\u00a0
\n\u00a0\u00a0\u00a0\u00a0for\u00a0i\u00a0=\u00a02:N_pop
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0for\u00a0j\u00a0=\u00a01:dim
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0r1\u00a0=\u00a0rand();
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if\u00a0r1\u00a0<\u00a0WEP
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0r2\u00a0=\u00a0rand();
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if\u00a0r2\u00a0<\u00a00.5
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0r3\u00a0=\u00a0rand();
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0r4\u00a0=\u00a0rand();
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0if\u00a0r3\u00a0<\u00a00.5
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Universe(i,j)\u00a0=\u00a0best_universe(j)\u00a0+\u00a0TDR\u00a0*\u00a0((ub(j)-lb(j))*r4\u00a0+\u00a0lb(j));
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0else
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Universe(i,j)\u00a0=\u00a0best_universe(j)\u00a0–\u00a0TDR\u00a0*\u00a0((ub(j)-lb(j))*r4\u00a0+\u00a0lb(j));
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0end
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0else
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0k\u00a0=\u00a0randi([1,\u00a0N_pop]);
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Universe(i,j)\u00a0=\u00a0Universe(k,j);
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0end
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0end
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0end
\n\u00a0\u00a0\u00a0\u00a0end
\n\u00a0\u00a0\u00a0\u00a0Universe\u00a0=\u00a0max(min(Universe,\u00a0ub),\u00a0lb);
\n\u00a0\u00a0\u00a0\u00a0
\n\u00a0\u00a0\u00a0\u00a0if\u00a0mod(iter,\u00a010)\u00a0==\u00a00
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0fprintf('\u8fed\u4ee3\u00a0%d\/%d,\u00a0\u6700\u4f18\u9002\u5e94\u5ea6\u00a0=\u00a0%.4e\\\\n',\u00a0iter,\u00a0Max_iter,\u00a0best_fitness);
\n\u00a0\u00a0\u00a0\u00a0end
\nend<\/p>\n

fprintf('\\\\n\u4f18\u5316\u5b8c\u6210！\\\\n');
\nbest_x\u00a0=\u00a0best_universe;<\/p>\n

🎉\u7b2c\u4e09\u90e8\u5206\u2014\u2014\u53c2\u8003\u6587\u732e\u00a0<\/h3>\n

\u6587\u7ae0\u4e2d\u4e00\u4e9b\u5185\u5bb9\u5f15\u81ea\u7f51\u7edc，\u4f1a\u6ce8\u660e\u51fa\u5904\u6216\u5f15\u7528\u4e3a\u53c2\u8003\u6587\u732e，\u96be\u514d\u6709\u672a\u5c3d\u4e4b\u5904，\u5982\u6709\u4e0d\u59a5，\u8bf7\u968f\u65f6\u8054\u7cfb\u5220\u9664\u3002(\u6587\u7ae0\u5185\u5bb9\u4ec5\u4f9b\u53c2\u8003，\u5177\u4f53\u6548\u679c\u4ee5\u8fd0\u884c\u7ed3\u679c\u4e3a\u51c6)<\/p>\n

\"\"<\/p>\n

\u200b\u200b\u200b\u200b\u200b\u200b🌈<\/span>\u7b2c\u56db\u90e8\u5206\u2014\u2014\u672c\u6587\u5b8c\u6574\u8d44\u6e90\u4e0b\u8f7d<\/h3>\n

\u8d44\u6599\u83b7\u53d6，\u66f4\u591a\u7c89\u4e1d\u798f\u5229，MATLAB|Simulink|Python|\u6570\u636e|\u6587\u6863\u7b49\u5b8c\u6574\u8d44\u6e90\u83b7\u53d6<\/p>\n

\u672c\u6587\u5b8c\u6574\u8d44\u6e90\u4e0b\u8f7d<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

💥💥💞💞\u6b22\u8fce\u6765\u5230\u672c\u535a\u5ba2\u2764\ufe0f\u2764\ufe0f💥💥 🏆\u535a\u4e3b\u4f18\u52bf：🌞🌞🌞\u535a\u5ba2\u5185\u5bb9\u5c3d\u91cf\u505a\u5230\u601d\u7ef4\u7f1c\u5bc6，\u903b\u8f91\u6e05\u6670，\u4e3a\u4e86\u65b9\u4fbf\u8bfb\u8005\u3002 🎁\u5b8c\u6574\u8d44\u6e90\u3001\u8bba\u6587\u590d\u73b0\u3001\u671f\u520a\u5408\u4f5c\u3001\u8bba\u6587\u8f85\u5bfc\u53ca\u79d1\u7814\u4eff\u771f\u5b9a\u5236\u4e8b\u5b9c\u70b9\u51fb： 👉👉👉\u672c\u6587\u5b8c\u6574\u8d44\u6e90\u4e0b\u8f7d \u26f3\ufe0f<\/p>\n","protected":false},"author":2,"featured_media":100824,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1284,2792,100,427],"topic":[],"class_list":["post-100834","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-matlab","tag-2792","tag-100","tag-427"],"yoast_head":"\n\u3010\u590d\u73b0\u3011\u8003\u8651\u591a\u7c7b\u578b\u8d44\u6e90\u7684\u6570\u636e\u4e2d\u5fc3\u56ed\u533a\u4f9b\u7535\u534f\u8c03\u89c4\u5212\u3010\u591a\u5143\u5b87\u5b99\u4f18\u5316\u7b97\u6cd5\u6c42\u89e3\u3011\uff08Matlab\u4ee3\u7801\u5b9e\u73b0\uff09 - 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