{"id":23915,"date":"2021-02-19T20:54:25","date_gmt":"2021-02-19T12:54:25","guid":{"rendered":"https:\/\/swarma.org\/?p=23915"},"modified":"2021-02-19T20:54:25","modified_gmt":"2021-02-19T12:54:25","slug":"%e4%bb%80%e4%b9%88%e6%98%af%e6%bc%94%e5%8c%96%e8%ae%a1%e7%ae%97-%e9%9b%86%e6%99%ba%e7%99%be%e7%a7%91","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=23915","title":{"rendered":"\u4ec0\u4e48\u662f\u6f14\u5316\u8ba1\u7b97| \u96c6\u667a\u767e\u79d1"},"content":{"rendered":"
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\u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\uff0c \u6f14\u5316\u8ba1\u7b97 Evolutionary computation\uff0c\u53c8\u79f0\u8fdb\u5316\u8ba1\u7b97\uff0c\u662f\u4e00\u4e2a\u53d7\u751f\u7269\u6f14\u5316\u542f\u53d1\u7684\u5168\u5c40\u4f18\u5316\u7b97\u6cd5\u5bb6\u65cf\uff0c\u8fd9\u4e9b\u7b97\u6cd5\u7684\u7814\u7a76\u5c5e\u4e8e\u4eba\u5de5\u667a\u80fd\u548c\u8f6f\u8ba1\u7b97\u7684\u5b50\u9886\u57df\u3002\u5728\u6280\u672f\u672f\u8bed\u4e0a\uff0c\u5b83\u4eec\u662f\u4e00\u7c7b\u57fa\u4e8e\u7fa4\u4f53\u7684\u8bd5\u9519\u578b\u95ee\u9898\u6c42\u89e3\u5668\uff0c\u5177\u6709\u5143\u542f\u53d1\u5f0f\u6216\u968f\u673a\u4f18\u5316\u7279\u6027\u3002<\/p>\n

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\u6f14\u5316\u7a0b\u5e8f\u8bbe\u8ba1 Evolutionary programming\u662f\u7531\u7f8e\u56fd\u7684 Lawrence J. Foge\u63d0\u51fa\u7684\uff0c\u800c\u7ea6\u7ff0\u00b7\u970d\u5170\u5fb7 John H Holland\u4e5f\u63d0\u51fa\u4e00\u79cd\u53eb\u505a\u9057\u4f20\u7b97\u6cd5\u7684\u65b9\u6cd5\uff0c\u4e0e\u6b64\u540c\u65f6\u5728\u5fb7\u56fd\uff0cIngo Rechenberg \u548c Hans-Paul Schwefel \u5f15\u5165\u4e86\u6f14\u5316\u7b56\u7565 evolution strategies\u3002
\u8fd9\u4e9b\u9886\u57df\u5206\u522b\u72ec\u7acb\u5730\u53d1\u5c55\u4e86\u5927\u7ea615\u5e74\uff0c\u4e00\u76f4\u523090\u5e74\u4ee3\u65e9\u671f\u5f00\u59cb\uff0c\u5b83\u4eec\u88ab\u7edf\u4e00\u7528\u4e00\u79cd\u88ab\u79f0\u4e3a\u6f14\u5316\u8ba1\u7b97\u7684\u6280\u672f\u6765\u8fdb\u884c\u8868\u793a(\u7c7b\u4f3c\u201c\u65b9\u8a00\u201d)\u3002\u4e5f\u662f\u572890\u5e74\u4ee3\u521d\u671f\uff0c\u51fa\u73b0\u4e86\u7ee7\u4e00\u822c\u601d\u60f3\u4e4b\u540e\u7684\u7b2c\u56db\u79cd\u601d\u6f6e\u2014\u2014\u9057\u4f20\u7f16\u7a0b genetic programming\u3002\u81ea20\u4e16\u7eaa90\u5e74\u4ee3\u4ee5\u6765\uff0c\u4ee5\u81ea\u7136\u4e3a\u7075\u611f\u7684\u7b97\u6cd5\u6b63\u5728\u6210\u4e3a\u6f14\u5316\u8ba1\u7b97\u65e5\u76ca\u91cd\u8981\u7684\u4e00\u90e8\u5206\u3002<\/p>\n

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\u5229\u7528\u6f14\u5316\u7b97\u6cd5\u548c\u4eba\u5de5\u751f\u547d\u6a21\u62df\u8fdb\u5316\u7684\u5de5\u4f5c\u59cb\u4e8e20\u4e16\u7eaa60\u5e74\u4ee3Nils Aall Barricelli\u7684\u5de5\u4f5c\uff0c\u540e\u6765\u88abAlex Fraser\u6269\u5c55\uff0c\u4ed6\u53d1\u8868\u4e86\u4e00\u7cfb\u5217\u5173\u4e8e\u4eba\u5de5\u9009\u62e9\u6a21\u62df\u7684\u8bba\u6587 \u300220\u4e16\u7eaa60\u5e74\u4ee3\u548c70\u5e74\u4ee3\u65e9\u671f\uff0cIngo Rechenberg \u4f7f\u7528\u6f14\u5316\u7b56\u7565\u89e3\u51b3\u590d\u6742\u7684\u5de5\u7a0b\u95ee\u9898\uff0c\u4eba\u5de5\u6f14\u5316\u56e0\u6b64\u6210\u4e3a\u88ab\u5e7f\u6cdb\u8ba4\u53ef\u7684\u4f18\u5316\u65b9\u6cd5\u3002\u5c24\u5176\u662f\u9057\u4f20\u7b97\u6cd5\uff0c\u56e0\u4e3a\u7ea6\u7ff0\u00b7\u970d\u5170\u5fb7\u7684\u8457\u4f5c\u4e5f\u53d8\u5f97\u6d41\u884c\u8d77\u6765\u3002\u5b66\u672f\u754c\u5174\u8da3\u589e\u957f\u7684\u540c\u65f6\uff0c\u8ba1\u7b97\u673a\u80fd\u529b\u7684\u6025\u5267\u589e\u957f\u4f7f\u5f97\u8fd9\u79cd\u7b97\u6cd5\u53ef\u4ee5\u88ab\u5b9e\u9645\u5e94\u7528\u8d77\u6765\uff0c\u5176\u4e2d\u5305\u62ec\u8ba1\u7b97\u673a\u7a0b\u5e8f\u7684\u81ea\u52a8\u6f14\u5316\u3002 \u6f14\u5316\u7b97\u6cd5\u73b0\u5728\u88ab\u7528\u6765\u89e3\u51b3\u591a\u7ef4\u5ea6\u95ee\u9898\uff0c\u4e14\u6bd4\u4eba\u7c7b\u8bbe\u8ba1\u8005\u751f\u4ea7\u7684\u8f6f\u4ef6\u66f4\u6709\u6548\uff0c\u540c\u65f6\u8fd8\u53ef\u4ee5\u4f18\u5316\u7cfb\u7edf\u7684\u8bbe\u8ba1\u3002

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\u6280\u672f


\u6f14\u5316\u8ba1\u7b97\u6280\u672f\u4e3b\u8981\u6d89\u53ca\u5143\u542f\u53d1\u5f0f\u4f18\u5316\u7b97\u6cd5\u3002\u4e00\u822c\u6765\u8bf4\uff0c\u8fd9\u4e2a\u9886\u57df\u5305\u62ec:
\u8681\u7fa4\u4f18\u5316\u7b97\u6cd5\u4eba\u5de5\u514d\u75ab\u7cfb\u7edf Artificial immune systems
\u4eba\u5de5\u751f\u547d (also see digital organism)
\u6587\u5316\u7b97\u6cd5 Cultural algorithms
\u5dee\u5206\u6f14\u5316 Differential evolution
\u53cc\u76f8\u6f14\u5316Dual-phase evolution
\u5206\u5e03\u7b97\u6cd5\u4f30\u8ba1 Estimation of distribution algorithms
\u6f14\u5316\u7b97\u6cd5
\u6f14\u5316\u7f16\u7a0b Evolutionary programming
\u6f14\u5316\u7b56\u7565 Evolution strategy
\u57fa\u56e0\u8868\u8fbe\u5f0f\u7f16\u7a0b\u7b97\u6cd5 Gene expression programming
\u9057\u4f20\u7b97\u6cd5Genetic algorithm
\u9057\u4f20\u7a0b\u5e8f\u8bbe\u8ba1 Genetic programming
\u6587\u6cd5\u6f14\u5316 Grammatical evolution
\u53ef\u5b66\u4e60\u6f14\u5316\u6a21\u578b Learnable evolution model
\u5b66\u4e60\u5206\u7c7b\u5668\u7cfb\u7edf Learning classifier systems
\u6a21\u56e0\u7b97\u6cd5 Memetic algorithms
\u795e\u7ecf\u6f14\u5316 Neuroevolution
\u7c92\u5b50\u7fa4\u4f18\u5316\u7b97\u6cd5
\u534f\u4f5c\u6210\u7ea4\u7ef4\u7ec6\u80de\u4f18\u5316 Synergistic Fibroblast Optimization
\u81ea\u7ec4\u7ec7
\u96c6\u4f53\u667a\u80fd Swarm intelligence






\u6f14\u5316\u7b97\u6cd5


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\u6f14\u5316\u7b97\u6cd5\u662f\u6f14\u5316\u8ba1\u7b97\u7684\u4e00\u4e2a\u5b50\u96c6\uff0c\u56e0\u4e3a\u5b83\u4eec\u901a\u5e38\u53ea\u6d89\u53ca\u5b9e\u73b0\u751f\u7269\u6f14\u5316\u673a\u5236\u7684\u6280\u672f\uff0c\u5982\u7e41\u6b96\u3001\u53d8\u5f02\u3001\u91cd\u7ec4\u3001\u81ea\u7136\u9009\u62e9\u548c\u9002\u8005\u751f\u5b58\u3002\u6700\u4f73\u5316\u95ee\u9898\u7684\u5019\u9009\u89e3\u51b3\u65b9\u6848\u626e\u6f14\u4e86\u4eba\u53e3\u4e2d\u4e2a\u4f53\u7684\u89d2\u8272\uff0c\u800c\u6210\u672c\u51fd\u6570\u51b3\u5b9a\u4e86\u89e3\u51b3\u65b9\u6848\u201c\u751f\u5b58\u201d\u7684\u73af\u5883(\u53c2\u89c1\u9002\u5e94\u5ea6\u51fd\u6570)\u3002\u5728\u91cd\u590d\u5e94\u7528\u4e0a\u8ff0\u7b97\u5b50\u4e4b\u540e\uff0c\u79cd\u7fa4\u7684\u6f14\u5316\u5c31\u53d1\u751f\u4e86\u3002<\/p>\n

\u5728\u8ba1\u7b97\u667a\u80fd computational intelligence \u9886\u57df\uff0c\u6f14\u5316\u7b97\u6cd5\uff08EA\uff09\uff08\u6216\u79f0\u8fdb\u5316\u7b97\u6cd5\uff09\u662f\u6f14\u5316\u8ba1\u7b97\u7684\u5b50\u96c6 \uff0c\u662f\u4e00\u79cd\u57fa\u4e8e\u7fa4\u4f53\u7684\u5143\u542f\u53d1\u5f0f\u6700\u4f18\u5316\u7b97\u6cd5\u3002\u6f14\u5316\u7b97\u6cd5\u4f7f\u7528\u5230\u4e86\u5404\u79cd\u6a21\u62df\u751f\u7269\u6f14\u5316\u673a\u5236\u7684\u64cd\u4f5c\uff0c\u6bd4\u5982\u7e41\u884d\u3001\u53d8\u5f02\u3001\u91cd\u7ec4\u3001\u9009\u62e9\u7b49\u3002\u5728\u7fa4\u4f53\u4e2d\u6bcf\u4e00\u4e2a\u4e2a\u4f53\u90fd\u662f\u95ee\u9898\u7684\u5907\u9009\u89e3\uff0c\u800c\u635f\u5931\u51fd\u6570 cost function\uff08\u51b3\u5b9a\u4e86\u8fd9\u4e9b\u4e2a\u4f53\u7684\u751f\u5b58\u73af\u5883\uff08\u4ea6\u5373\u7528\u4e8e\u8ba1\u7b97\u4e2a\u4f53\u5bf9\u4e8e\u73af\u5883\u7684\u9002\u5e94\u5ea6\uff09\u3002\u6f14\u5316\u5c31\u662f\u5728\u4e0d\u65ad\u5728\u7fa4\u4f53\u4e2d\u8fdb\u884c\u7e41\u884d\u3001\u53d8\u5f02\u3001\u91cd\u7ec4\u3001\u9009\u62e9\u8fd9\u4e9b\u64cd\u4f5c\u8fdb\u800c\u627e\u51fa\u6700\u4f18\u89e3\u7684\u8fc7\u7a0b\u3002<\/p>\n

\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\uff0c\u6709\u4e24\u79cd\u4e3b\u8981\u7684\u529b\u91cf\u6784\u6210\u4e86\u6f14\u5316\u7cfb\u7edf\u7684\u57fa\u7840: \u91cd\u7ec4\uff08Recombination\uff09\u3001\u7a81\u53d8\uff08mutation\uff09\u548c\u4ea4\u6362\uff08crossover\uff09\u521b\u9020\u4e86\u5fc5\u8981\u7684\u591a\u6837\u6027\uff0c\u4ece\u800c\u4fc3\u8fdb\u4e86\u65b0\u9896\u6027\uff0c\u800c\u9009\u62e9\u5e26\u6765\u7684\u4f18\u80dc\u52a3\u6c70\u5219\u662f\u4e00\u79cd\u63d0\u9ad8\u8d28\u91cf\u7684\u529b\u91cf\u3002<\/p>\n

\u8fd9\u79cd\u6f14\u5316\u8fc7\u7a0b\u7684\u8bb8\u591a\u65b9\u9762\u90fd\u662f\u968f\u673a\u7684\u3002\u7531\u4e8e\u91cd\u7ec4\u548c\u7a81\u53d8\u800c\u6539\u53d8\u7684\u4fe1\u606f\u7247\u6bb5\u662f\u968f\u673a\u9009\u62e9\u7684\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u9009\u62e9\u64cd\u4f5c\u53ef\u4ee5\u662f\u786e\u5b9a\u6027\u7684\uff0c\u4e5f\u53ef\u4ee5\u662f\u968f\u673a\u7684\u3002\u5728\u540e\u4e00\u79cd\u60c5\u51b5\u4e0b\uff0c\u9002\u5408\u5ea6\u8f83\u9ad8\u7684\u4e2a\u4f53\u6bd4\u9002\u5408\u5ea6\u8f83\u4f4e\u7684\u4e2a\u4f53\u6709\u66f4\u9ad8\u7684\u673a\u4f1a\u88ab\u9009\u4e2d\uff0c\u4f46\u901a\u5e38\u5373\u4f7f\u662f\u9002\u5e94\u5ea6\u8f83\u5dee\u7684\u4e2a\u4f53\u4e5f\u6709\u673a\u4f1a\u6210\u4e3a\u7236\u672c\u6216\u751f\u5b58\u4e0b\u6765\u3002






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\u7136\u800c\uff0c\u7b97\u6cd5\u548c\u4fe1\u606f\u5b66\u7684\u4f7f\u7528\uff0c\u7279\u522b\u662f\u8ba1\u7b97\u7406\u8bba\u7684\u4f7f\u7528\uff0c\u8d85\u8d8a\u4e86\u5bf9\u52a8\u529b\u7cfb\u7edf\u7684\u7c7b\u6bd4\uff0c\u8fd9\u4e5f\u4e0e\u7406\u89e3\u6f14\u5316\u672c\u8eab\u6709\u5173\u3002<\/p>\n

\u8fd9\u4e00\u89c2\u70b9\u7684\u4f18\u70b9\u662f\u8ba4\u8bc6\u5230\u53d1\u80b2\u6ca1\u6709\u4e2d\u592e\u63a7\u5236\uff1b\u751f\u7269\u4f53\u7684\u53d1\u80b2\u662f\u7ec6\u80de\u5185\u90e8\u548c\u7ec6\u80de\u4e4b\u95f4\u5c40\u90e8\u76f8\u4e92\u4f5c\u7528\u7684\u7ed3\u679c\u3002\u5728\u6211\u4eec\u770b\u6765\uff0c\u5173\u4e8e\u7a0b\u5e8f\u5f00\u53d1\u5e76\u884c\u7684\u6700\u6709\u524d\u9014\u7684\u60f3\u6cd5\u4f3c\u4e4e\u662f\u90a3\u4e9b\u6307\u51fa\u7ec6\u80de\u5185\u7684\u8fdb\u7a0b\u4e0e\u73b0\u4ee3\u8ba1\u7b97\u673a\u7684\u4f4e\u7ea7\u64cd\u4f5c\u4e4b\u95f4\u660e\u663e\u76f8\u4f3c\u7684\u601d\u60f3\u3002\u56e0\u6b64\uff0c\u751f\u7269\u7cfb\u7edf\u5c31\u50cf\u8ba1\u7b97\u673a\u5668\uff0c\u5904\u7406\u8f93\u5165\u4fe1\u606f\u6765\u8ba1\u7b97\u4e0b\u4e00\u4e2a\u72b6\u6001\u3002\u8fd9\u6837\u770b\u6765\uff0c\u751f\u7269\u7cfb\u7edf\u6bd4\u7ecf\u5178\u7684\u52a8\u529b\u7cfb\u7edf\u66f4\u63a5\u8fd1\u4e8e\u8ba1\u7b97\u3002<\/p>\n

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\u8ba1\u7b97\u7684\u7c7b\u6bd4\u4e5f\u5ef6\u4f38\u5230\u9057\u4f20\u7cfb\u7edf\u548c\u751f\u7269\u7ed3\u6784\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u8fd9\u901a\u5e38\u88ab\u8ba4\u4e3a\u662f\u89e3\u91ca\u751f\u547d\u8d77\u6e90\u6700\u7d27\u8feb\u7684\u95ee\u9898\u4e4b\u4e00\u3002<\/p>\n

\u6f14\u5316\u81ea\u52a8\u673a\u662f\u6f14\u5316 \u56fe\u7075\u673a Turing machines\u7684\u4e00\u79cd\u63a8\u5e7f\u3002\u4eba\u4eec\u5f15\u5165\u4e86\u8fd9\u4e00\u6982\u5ff5\u6765\u66f4\u7cbe\u786e\u5730\u7814\u7a76\u751f\u7269\u548c\u6f14\u5316\u8ba1\u7b97\u7684\u6027\u8d28\u3002\u7279\u522b\u662f\uff0c\u4ed6\u4eec\u5728\u6f14\u5316\u8ba1\u7b97\u7684\u8868\u73b0\u529b\u4e0a\u83b7\u5f97\u65b0\u7684\u6210\u679c\u3002\u8fd9\u8bc1\u5b9e\u4e86\u5173\u4e8e\u81ea\u7136\u6f14\u5316\u548c\u6f14\u5316\u7b97\u6cd5\u53ca\u8fc7\u7a0b\u4e0d\u53ef\u5224\u5b9a\u6027\u7684\u521d\u6b65\u7ed3\u679c\u3002\u6f14\u5316\u6709\u9650\u81ea\u52a8\u673a\u662f\u6f14\u5316\u81ea\u52a8\u673a\u4e2d\u6700\u7b80\u5355\u7684\u5b50\u7c7b\uff0c\u5728\u7ec8\u7aef\u6a21\u5f0f\u4e0b\u53ef\u4ee5\u63a5\u53d7\u7ed9\u5b9a\u5b57\u6bcd\u8868\u4e0a\u7684\u4efb\u610f\u8bed\u8a00\uff0c\u5305\u62ec\u975e\u9012\u5f52\u7684\u53ef\u679a\u4e3e\u8bed\u8a00(\u4f8b\u5982\uff0c\u5bf9\u89d2\u5316\u8bed\u8a00)\u548c\u9012\u5f52\u7684\u53ef\u679a\u4e3e\u4f46\u4e0d\u9012\u5f52\u8bed\u8a00(\u4f8b\u5982\uff0c\u901a\u7528\u56fe\u7075\u673a\u8bed\u8a00)\u3002






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\u6d3b\u8dc3\u7684\u7814\u7a76\u4eba\u5458\u540d\u5355\u81ea\u7136\u662f\u52a8\u6001\u7684\uff0c\u5e76\u975e\u8be6\u5c3d\u65e0\u9057\uff0c\u5173\u4e8e\u8fd9\u4e2a\u793e\u533a\u7684\u5b66\u672f\u793e\u4ea4\u7f51\u7edc\u5206\u6790\u4e8e2007\u5e74\u53d1\u8868\u3002<\/p>\n

Kalyanmoy DebKenneth A De JongPeter J. FlemingDavid B. FogelStephanie ForrestDavid E. GoldbergJohn H HollandTheo JansenJohn KozaZbigniew MichalewiczMelanie MitchellPeter NordinRiccardo PoliIngo RechenbergHans-Paul Schwefel





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Association for Computing Machinery|ACM]] Genetic and Evolutionary Computation Conference (GECCO) \u8ba1\u7b97\u673a\u534f\u4f1a \u9057\u4f20\u4e0e\u8fdb\u5316\u8ba1\u7b97\u4f1a\u8bae
IEEE Congress on Evolutionary Computation]] (CEC) IEEE\u6f14\u5316\u8ba1\u7b97\u5927\u4f1a
EvoStar, which comprises four conferences: EuroGP, EvoApplications, EvoCOP and EvoMUSART EvoStar\uff0c\u5305\u62ec\u56db\u4e2a\u4f1a\u8bae\uff1aEuroGP\u3001EvoApplications\u3001EvoCOP\u548cEvoMUSART\uff0c
Parallel Problem Solving from Nature (PPSN) \u81ea\u7136\u5e76\u884c\u95ee\u9898\u89e3\u51b3<\/p>\n



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Th. B\u00e4ck, D.B. Fogel, and Zbigniew Michalewicz (Editors), Handbook of Evolutionary Computation, 1997
Th. B\u00e4ck and H.-P. Schwefel. An overview of evolutionary algorithms for parameter optimization. Evolutionary Computation, 1(1):1\u201323, 1993.
W. Banzhaf, P. Nordin, R.E. Keller, and F.D. Francone. Genetic Programming \u2014 An Introduction. Morgan Kaufmann, 1998.
S. Cagnoni, et al., Real-World Applications of Evolutionary Computing, Springer-Verlag Lecture Notes in Computer Science, Berlin, 2000.
R. Chiong, Th. Weise, Zbigniew Michalewicz (Editors), Variants of Evolutionary Algorithms for Real-World Applications, 2012
K. A. De Jong, Evolutionary computation: a unified approach. MIT Press, Cambridge MA, 2006
A. E. Eiben and M. Schoenauer (2002). “Evolutionary computing”. Information Processing Letters. 82: 1\u20136. doi:10.1016\/S0020-0190(02)00204-1.
A. E. Eiben and J.E. Smith, Introduction to Evolutionary Computing, Springer, First edition, 2003,
D. B. Fogel. Evolutionary Computation. Toward a New Philosophy of Machine Intelligence. IEEE Press, Piscataway, NJ, 1995.
L. J. Fogel, A. J. Owens, and M. J. Walsh. \u4eba\u5de5\u667a\u80fd through Simulated Evolution. New York: John Wiley, 1966.
D. E. Goldberg. Genetic algorithms in search, optimization and machine learning. Addison Wesley, 1989.
J. H. Holland. Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor, 1975.
P. Hingston, L. Barone, and Zbigniew Michalewicz (Editors), Design by Evolution, Natural Computing Series, 2008
J. R. Koza. Genetic Programming: On the Programming of Computers by means of Natural Evolution. MIT Press, Massachusetts, 1992.
F.J. Lobo, C.F. Lima, Zbigniew Michalewicz (Editors), Parameter Setting in Evolutionary Algorithms, 2010
Zbigniew Michalewicz, Genetic Algorithms + Data Structures \u2013 Evolution Programs, 1996
Zbigniew Michalewicz and D.B. Fogel, How to Solve It: Modern Heuristics,2004
I. Rechenberg. Evolutionstrategie: Optimierung Technischer Systeme nach Prinzipien des Biologischen Evolution. Fromman-Hozlboog Verlag, Stuttgart, 1973. \u6a21\u677f:In lang
H.-P. Schwefel. Numerical Optimization of Computer Models. John Wiley & Sons, New-York, 1981. 1995 \u2013 2nd edition.
D. Simon. Evolutionary Optimization Algorithms. Wiley, 2013.
M. Sipper, W. Fu, K. Ahuja, and J. H. Moore (2018). “Investigating the parameter space of evolutionary algorithms”. BioData Mining. 11: 2. doi:10.1186\/s13040-018-0164-x. PMC 5816380. PMID 29467825.
Y. Zhang and S. Li. (2017). “PSA: A novel optimization algorithm based on survival rules of porcellio scaber”. arXiv:1709.09840 [cs.NE].






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\u4eba\u5de5\u751f\u547d\u5168\u666f\u56fe\uff1a\u5982\u4f55\u521b\u9020\u51fa\u8d85\u8d8a\u4eba\u5de5\u667a\u80fd\u7684\u751f\u547d\u7cfb\u7edf<\/a>
\u8be5\u6587\u7ae0\u662f\u5bf9Lana Sinapayen\u7684\u300aIntroduction to Artificial Life for People who Like AI\u300b\u4e00\u6587\u8fdb\u884c\u7684\u603b\u7ed3\uff0c\u4e3b\u8981\u4ece\u7814\u7a76\u76ee\u6807\u3001\u53d1\u5c55\u5386\u53f2\u3001\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u5173\u7cfb\u7b49\u65b9\u9762\u5bf9\u4eba\u5de5\u751f\u547d\u8fdb\u884c\u4e86\u4ecb\u7ecd\u3002<\/p>\n

\u57fa\u4e8e\u57ab\u811a\u77f3\u539f\u7406\u7684\u795e\u7ecf\u6f14\u5316\u7b97\u6cd5\uff1a\u4e3a\u4eba\u5de5\u667a\u80fd\u6ce8\u5165\u521b\u9020\u529b<\/a>\u8be5\u6587\u7ae0\u4e3b\u8981\u4ecb\u7ecd\u4e86\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6 Kenneth Stanley\u63d0\u51fa\u7684\u57fa\u4e8e\u57ab\u811a\u77f3\u539f\u7406\u7684\u795e\u7ecf\u6f14\u5316\u7b97\u6cd5\u3002<\/p>\n

\u8bfe\u7a0b\u63a8\u8350Genetic Algorithms\u8bfe\u7a0b\u7b80\u4ecb\uff1a\u672c\u8bfe\u7a0b\u4e2d\uff0c\u8bb2\u89e3\u751f\u6210\u5f0f\u7b97\u6cd5\u3001\u751f\u6210\u5f0f\u7f16\u7a0b\u4e0e\u8fdb\u5316\u7684\u865a\u62df\u751f\u7269\u3002<\/p>\n

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\u8bfe\u7a0b\u63a8\u8350\uff1aGenetic Algorithms
https:\/\/campus.swarma.org\/course\/1343<\/p>\n





\u767e\u79d1\u9879\u76ee\u5fd7\u613f\u8005\u62db\u52df




\u4f5c\u4e3a\u96c6\u667a\u767e\u79d1\u9879\u76ee\u56e2\u961f\u7684\u6210\u5458\uff0c\u672c\u6587\u5185\u5bb9\u7531Henry\u3001Ricky\u3001\u601d\u65e0\u6daf\u54bf\u5440\u54bf\u5440\u53c2\u4e0e\u8d21\u732e\u3002\u6211\u4eec\u4e5f\u4e3a\u6bcf\u4f4d\u4f5c\u8005\u548c\u5fd7\u613f\u8005\u51c6\u5907\u4e86\u4e13\u5c5e\u7b80\u4ecb\u548c\u4e2a\u4eba\u96c6\u667a\u767e\u79d1\u4e3b\u9875\uff0c\u66f4\u591a\u4fe1\u606f\u53ef\u4ee5\u8bbf\u95ee\u5176\u96c6\u667a\u767e\u79d1\u4e2a\u4eba\u4e3b\u9875\u3002<\/p>\n

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<\/div>\n

\u5728\u8fd9\u91cc\u4ece\u590d\u6742\u6027\u77e5\u8bc6\u51fa\u53d1\u4e0e\u4f19\u4f34\u540c\u884c\uff0c\u540c\u65f6\u6211\u4eec\u5e0c\u671b\u6709\u66f4\u591a\u5fd7\u613f\u8005\u52a0\u5165\u8fd9\u4e2a\u56e2\u961f\uff0c\u4f7f\u767e\u79d1\u8bcd\u6761\u5185\u5bb9\u5f97\u5230\u6269\u5145\uff0c\u5e76\u4e3a\u6bcf\u4f4d\u5fd7\u613f\u8005\u63d0\u4f9b\u76f8\u5e94\u5956\u52b1\u4e0e\u8d44\u6e90\uff0c\u5efa\u7acb\u4e2a\u4eba\u4e3b\u9875\u4e0e\u8d21\u732e\u8bb0\u5f55\uff0c\u4f7f\u5176\u80fd\u591f\u7ee7\u7eed\u63a2\u7d22\u590d\u6742\u4e16\u754c\u3002<\/p>\n

\u5982\u679c\u4f60\u6709\u610f\u53c2\u4e0e\u66f4\u52a0\u7cfb\u7edf\u7cbe\u7ec6\u7684\u5206\u5de5\uff0c\u626b\u63cf\u4e8c\u7ef4\u7801\u586b\u5199\u62a5\u540d\u8868\uff0c\u6211\u4eec\u671f\u5f85\u4f60\u7684\u52a0\u5165\uff01<\/p>\n

\u96c6\u667a\u767e\u79d1\u62a5\u540d\u8868<\/p>\n

\u6765\u6e90\uff1a\u96c6\u667a\u767e\u79d1\u7f16\u8f91\uff1a\u738b\u5efa\u840d<\/p>\n


\u63a8\u8350\u9605\u8bfb
\u4ec0\u4e48\u662f\u6f14\u5316\u7b97\u6cd5 | \u96c6\u667a\u767e\u79d1<\/a>
\u4ec0\u4e48\u662f\u6f14\u5316\u7f51\u7edc | \u96c6\u667a\u767e\u79d1<\/a>
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\u4ec0\u4e48\u662f\u90bb\u63a5\u8868 | \u96c6\u667a\u767e\u79d1<\/a>
\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/a><\/p>\n

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