[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$flFBsIZiJP4o4fMzi9lNEpJAbf4q4KHu9zp2xccoBagQ":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":68},[],"2023-05-10 17:18:00",4141527,[8,9,10,11],"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",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},15,"d0a7160251990c9b502a6fc9c044c4aa","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F151b1e04e0edd24518d87450e76e122a.jpg","人工智能与信息社会（湖南农业大学）","ff7a1321bd844599944be685f0ef417c","第四章","基因遗传算法的两个常用的结束条件为()",[21,32,41,50,59,69,79,88,97,100],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],4141519,[25,26,27,28],"红、绿、蓝",".红、黄、蓝","黄、绿、蓝","红、绿、黄","色彩的三原色模型是()","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],4141520,[36,37,38,39],"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":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],4141521,[45,46,47,48],"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":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":31},[],4141522,[54,55,56,57],"256","73578","1735666","16777216","RGB模型可以组合出()种颜色",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":30,"type":68},[],4141523,[63,64,65,66],"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":70,"createTime":5,"id":71,"options":72,"question":78,"source":30,"type":68},[],4141524,[73,74,75,76,77],"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","以下属于仿生算法的有()",{"answer":80,"createTime":5,"id":81,"options":82,"question":87,"source":30,"type":68},[],4141525,[83,84,85,86],"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":89,"createTime":5,"id":90,"options":91,"question":96,"source":30,"type":68},[],4141526,[92,93,94,95],"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":98,"createTime":5,"id":6,"options":99,"question":19,"source":30,"type":68},[],[8,9,10,11],{"answer":101,"createTime":5,"id":102,"options":103,"question":106,"source":30,"type":107},[],4141528,[104,105],"正确","错误","在解决函数优化问题时,基因遗传算法的全局性不好,容易陷入局部最优值.()",3]