Computer Science / Computer Science

Resolución de problemas por búsqueda

بواسطة: Coursera

Overview

El curso trata de resolución automática de problemas por medio de algoritmos de búsqueda.
Aprenderás a abstraer un problema como un grafo de estados-acciones y a dimensionar su complejidad por medio de la identificación de parámetros. Además, te mostraremos cómo analizar el consumo de recursos computacionales de los algoritmos para seleccionar o adaptar el más apropiado al problema.
Nos interesa que puedas aplicar los algoritmos a problemas concretos.
Te acompañaremos en la implementación de los algoritmos en el lenguaje de programación Python y te mostraremos algunos ejemplos de su aplicación a ciertos problemas modelo.
Al final podrás probar tus algoritmos en un espacio de búsqueda interesante: el resolver el cubo de Rubik.

Syllabus

  • Algoritmos de Búsqueda ciega
    • Conocerás los algoritmos de búsqueda no informada. Estos algoritmos pueden verse como building blocks para diseñar agentes inteligentes que resuelven problemas. Aprenderás a abstraer los problemas como grafos de estados-acciones y podrás tratar la solución de problemas de manera equivalente a encontrar rutas dentro de este grafo. Te mostraremos cómo utilizar el análisis asintótico para evaluar el desempeño de los algoritmos.
  • Algoritmos de Búsqueda ciega (parte 2)
    • Conocerás los algoritmos de búsqueda no informada. Estos algoritmos pueden verse como building blocks para diseñar agentes inteligentes que resuelven problemas. Aprenderás a abstraer los problemas como grafos de estados-acciones y podrás tratar la solución de problemas de manera equivalente a encontrar rutas dentro de este grafo. Te mostraremos cómo utilizar el análisis asintótico para evaluar el desempeño de los algoritmos.
  • Algoritmos de búsqueda informada
    • Aprenderás a incorporar conocimiento del dominio del problema para guiar a los algoritmos en dirección a la solución por medio de funciones heurísticas. Entenderás el efecto que tiene la selección de la heurística en la optimalidad de las rutas encontradas.
  • Algoritmos de búsqueda informada (parte 2)
    • Aprenderás a incorporar conocimiento del dominio del problema para guiar a los algoritmos en dirección a la solución por medio de funciones heurísticas. Entenderás el efecto que tiene la selección de la heurística en la optimalidad de las rutas encontradas.
  • Algoritmos de búsqueda metaheurísticos
    • Comprenderás la importancia de los algoritmos meta-heurísticos para enfrentar la complejidad de problemas grandes donde los algoritmos vistos en los módulos anteriores dejan de ser efectivos.
Computer Science / Computer Science
Resolución de problemas por búsqueda
الذهاب الي الدورة

Resolución de problemas por búsqueda

بواسطة: Coursera

  • Coursera
  • مجانية
  • Spanish
  • متاح شهادة
  • متاح في أي وقت
  • beginner
  • Spanish
MessagesTimelineExceptionsViews14RouteQueries7Models6GateSessionRequest
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