[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fzZLezjW5eB43k323AJ3s8PDKFY0enRkKJNVE1-__3jQ":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":13,"question":20,"related":21,"source":31,"type":69},[],"2023-05-16 02:54:57",12136479,[8,9,10,11,12],"蚁群算法","遗传算法","人工神经网络","蒙特卡洛方法","归并排序算法",{"count":14,"courseId":15,"courseImg":16,"courseName":17,"workId":18,"workName":19},9,"b655b18000cfb4d7ab5efbdddfb0e024","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F151b1e04e0edd24518d87450e76e122a.jpg","人工智能与信息社会（尔雅）","bd54a3e9ead14b15bd49343242cdc196","第四章","以下属于仿生算法的有()",[22,33,42,51,60,70,73,82,91],{"answer":23,"createTime":5,"id":24,"options":25,"question":30,"source":31,"type":32},[],12136474,[26,27,28,29],"红、绿、蓝",".红、黄、蓝","黄、绿、蓝","红、绿、黄","色彩的三原色模型是()","v1",0,{"answer":34,"createTime":5,"id":35,"options":36,"question":41,"source":31,"type":32},[],12136475,[37,38,39,40],"交叉","复制","变异","初始化","图中所展示的基因遗传算法过程是()过程.\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F04181b70d11165b3fff97e6bf8a55fc1.png\">",{"answer":43,"createTime":5,"id":44,"options":45,"question":50,"source":31,"type":32},[],12136476,[46,47,48,49],"高了;高了","高了;低了","低了;高了","低了;低了","将两个图片每个像素RGB三个分量的差值的平方和作为适应度函数的计算方法,两次计算得出来的值分别为1512869728和1495705312,那么说明适应度函数值(),适应度()",{"answer":52,"createTime":5,"id":53,"options":54,"question":59,"source":31,"type":32},[],12136477,[55,56,57,58],"256","73578","1735666","16777216","RGB模型可以组合出()种颜色",{"answer":61,"createTime":5,"id":62,"options":63,"question":68,"source":31,"type":69},[],12136478,[64,65,66,67],"模拟自然生物群体的行为","针对特定的输入能够得到确定的结果","需要大量的模拟计算过程","适用于大规模复杂优化问题","仿生算法的特点有()",1,{"answer":71,"createTime":5,"id":6,"options":72,"question":20,"source":31,"type":69},[],[8,9,10,11,12],{"answer":74,"createTime":5,"id":75,"options":76,"question":81,"source":31,"type":69},[],12136480,[77,78,79,80],"基因遗传算法反映了自然选择的过程","基因遗传算法一定能得到最优解","是一种启发式的搜索算法","能够穷尽所有可能性","以下对基因遗传算法描述正确的是()",{"answer":83,"createTime":5,"id":84,"options":85,"question":90,"source":31,"type":69},[],12136481,[86,87,88,89],"初始化编码","适应度函数","选择","交叉和变异","基因遗传算法的组成部分包括()",{"answer":92,"createTime":5,"id":93,"options":94,"question":99,"source":31,"type":69},[],12136482,[95,96,97,98],"达到一定的迭代次数","适应度函数达到一定的要求","达到一定的变异次数","达到一定的交叉次数","基因遗传算法的两个常用的结束条件为()"]