GeneticAlgorithm：使用DEAP框架创建遗传算法，在考虑卡路里和食物种类的情况下创建理想的饮食-源码
文件下载
资源详情
[{"title":"（ 54 个子文件 751KB ） GeneticAlgorithm：使用DEAP框架创建遗传算法，在考虑卡路里和食物种类的情况下创建理想的饮食-源码","children":[{"title":"geneticAlgorithm-master","children":[{"title":"logs.py <span style='color:#111;'> 2.92KB </span>","children":null,"spread":false},{"title":"corrida_C_3","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 32.61KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.59KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 33.44KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.34KB </span>","children":null,"spread":false}],"spread":true},{"title":"main.py <span style='color:#111;'> 3.55KB </span>","children":null,"spread":false},{"title":"corrida_A_4","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 33.08KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 35.57KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"utils.py <span style='color:#111;'> 1.58KB </span>","children":null,"spread":false},{"title":"corrida_C_1","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 28.00KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 32.73KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false}],"spread":true},{"title":"corrida_A_2","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 28.46KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 32.25KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"corrida_A_3","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 29.71KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 32.34KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false}],"spread":true},{"title":"corrida_B_4","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 29.16KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.57KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 31.28KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false}],"spread":true},{"title":"corrida_A_1","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 26.81KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 32.30KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false}],"spread":true},{"title":"corrida_B_1","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 50.61KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 39.86KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.30KB </span>","children":null,"spread":false}],"spread":true},{"title":"comidas.py <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"funcion_aptitud.py <span style='color:#111;'> 5.59KB </span>","children":null,"spread":false},{"title":"corrida_B_2","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 27.07KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 33.06KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false}],"spread":false},{"title":"corrida_C_4","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 26.99KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.59KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 31.74KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false}],"spread":false},{"title":"corrida_B_3","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 25.67KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 32.11KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false}],"spread":false},{"title":"individuo.py <span style='color:#111;'> 3.77KB </span>","children":null,"spread":false},{"title":"corrida_C_2","children":[{"title":"evolucion_fitness_por_generacion.png <span style='color:#111;'> 25.23KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"evolucion_promedio_fitness_por_generacion.png <span style='color:#111;'> 32.66KB </span>","children":null,"spread":false},{"title":"corrida.txt <span style='color:#111;'> 2.31KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}]
评论信息
其他资源
- 淘宝数据包完整可用
- RRT算法MATLAB实现
- snort规则包
- 多目标优化算法(一)NSGA2（python版）
- 2021.01.26.数字之城：智慧城市未来发展白皮书.pdf
- 模拟城市2000（源码）
- R软件单个率meta分析教程
- 2019全球互联网架构大会：aPaaS企业级开发的终极模式.pdf
- Python-与DeepComplexNetworks相关的实现
- Introduction to Computing with Geometry Notes
- 基于边缘的模板匹配
- JAVA+sqlserver数据库酒店管理系统
- YAMAHA RX-V757电源.png
- 2008年美国大学生数学建模竞赛优秀论文
- 派对刀-源码
- Cisco路由器 3660镜像
- cockroach-v20.2.2.linux-amd64.tgz
- ring3应用层截获网络数据包 网络抓包的实现源码
- dwr3.0jar包+war包
- 三层架构简单管理系统
- 历史上飞机坠毁数据集
- 基于Java的物业管理系统
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明