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Basic Modeling for Discrete Optimization
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Basic Modeling for Discrete Optimization

Learn discrete optimization modeling with MiniZinc. Master problem-solving techniques for real-world applications.

Course Cost

₹ 2,699

Intermediate

Skill Level

26 Hours

Self-paced lessons

Dive into the world of discrete optimization with this intermediate-level course. Learn to model complex decision-making problems using MiniZinc, a high-level modeling language. Master techniques for solving knapsack problems, graph coloring, production planning, and cryptarithm puzzles. Explore set selection, assignment problems, and multiple modeling viewpoints. Gain practical skills in using industrial-grade solving technologies to tackle challenging optimization scenarios in various fields, from logistics to resource management. This course equips you with powerful tools to address real-world optimization challenges efficiently.

What you'll learn

  • Understand the basics of MiniZinc and its application in discrete optimization

  • Model and solve knapsack problems, graph coloring, and production planning challenges

  • Master techniques for set selection, including fixed and bounded cardinality sets

  • Develop skills in modeling pure assignment problems and partition problems

  • Learn to use global constraints for efficient problem-solving

  • Explore multiple modeling viewpoints for complex optimization scenarios

  • Gain practical experience in applying optimization techniques to real-world problems

  • Develop proficiency in using industrial-grade solving technologies

Skills you'll gain

Constraint Programming
Problem Solving
Mathematical Model
Discrete Optimization
MiniZinc
Set Theory
Function Modeling
Partitioning
Permutation

This course includes:

5 Hours PreRecorded video

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This course provides a comprehensive introduction to discrete optimization using MiniZinc, a high-level modeling language. Students will learn to tackle a wide range of optimization problems, from simple knapsack problems to complex production planning and resource allocation challenges. The curriculum covers key concepts such as set selection, assignment problems, partitioning, and multiple modeling viewpoints. By combining MiniZinc's simplicity with powerful open-source industrial solving technologies, learners will develop skills to model and solve real-world optimization problems efficiently. The course emphasizes practical application, enabling students to unlock the potential of advanced optimization techniques in various fields, including logistics, scheduling, and decision support systems.

MiniZinc introduction

Module 1 · 7 Hours to complete

Modeling with Sets

Module 2 · 4 Hours to complete

Modeling with Functions

Module 3 · 8 Hours to complete

Multiple Modeling

Module 4 · 7 Hours to complete

Fee Structure

Payment options

Financial Aid

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Basic Modeling for Discrete Optimization

Intermediate

Skill Level

26 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.