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Informatique et Mathématiques appliquées
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> Formation > Cursus ingénieur

Advanced Operation Research - Algorithms for Artificial Intelligence - 4MMROA6

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  • Number of hours

    • Lectures : 16.5
    • Tutorials : 16.5
    • Laboratory works : -
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 3.0
  • Officials : Wojciech BIENIA

Goals

Modelling and solving complex decision problems with advanced operations research methods

Content

Foundations:
• Integer Linear Programming
• Dynamic Programming
• Stochastic Dynamic Programming, MDP
• Stochastic shortest path

Applications (a subset of the following)

• Facility location problems
• Inventory management
• Scheduling
• Vehicle routing problems
• Robot motion planing
• Optimization in Finance
• Network Design
• Manufacturing of circuits
• etc..

Prerequisites

First year Operations Research course.

Tests

final exam

  • no calculator
  • hands out allowed

N1=E1
N2=E2

Calendar

The course exists in the following branches:

  • Curriculum - Math. Modelling, Image & Simulation - Semester 8
  • Curriculum - Math. Modelling, Image & Simulation - Semester 8
see the course schedule for 2020-2021

Additional Information

Course ID : 4MMROA6
Course language(s): FR

The course is attached to the following structures:

You can find this course among all other courses.

Bibliography

Integer Programming, L. Wolsey
Theory of Linear and Integer Programming, A. Schrijver
Dynamic programming and optimal control (vol. I et II), D. Bertsekas
Optimisation Methods in Finance, G. Cornuejols and R. Tütüncü
Combinatorial Optimization: Algorithms and Complexity Christos H. Papadimitriou,Kenneth Steiglitz Dover Publications,Inc
Iterative Methods in Combinatorial Optimization Lap Chi Lau Cambridge

Recherche opérationnelle et réseaux Gerd Finke, Lavoisier.

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Date of update January 15, 2017

Université Grenoble Alpes