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Optimization with Python: all you need for LP-MILP-NLP-MINLP

Learn how to solve optimization problems using CPLEX, Gurobi, A.I., and more (also called operational research)
5.0
5.0/5
(7 reviews)
24 students
Created by Rafael Silva Pinto

9.9

CourseMarks Score®

10.0

Freshness

10.0

Feedback

9.2

Content

Platform: Udemy
Price: $11.99
Video: 6h 57m
Language: English
Next start: On Demand

Top Optimization Problem courses:

Detailed Analysis

CourseMarks Score®

9.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 4/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

10.0 / 10
We analyzed factors such as the rating (5.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.2 / 10
Video Score: 8.6 / 10
The course includes 6h 57m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 3 hours 11 minutes of 16 Optimization Problem courses on Udemy.
Detail Score: 9.5 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
40 resources.
0 exercise.
0 test.

Table of contents

Description

Operational planning and long term planning for companies are more complex in recent years. Information change fast, and the decision making is a hard task. Therefore, optimization algorithms are used to find optimal solutions for these problems. Professionals in this field are the most valued ones.
In this course you will learn what is necessary to solve problems applying:
•Linear Programming (LP)
•Mixed-Integer Linear Programming (MILP)
•NonLinear Programming (NLP)
•Mixed-Integer Linear Programming (MINLP)
•Genetic Algorithm (GA)
•Particle Swarm (PSO)
•Constraint Programming (CP)

The following solvers and frameworks will be explored:
•Solvers: CPLEX – Gurobi – GLPK – CBC – IPOPT – Couenne – SCIP
•Frameworks: Pyomo – Or-Tools – PuLP
•Same Packages and tools: Geneticalgorithm – Pyswarm – Numpy – Pandas – MatplotLib – Spyder – Jupyter Notebook

In addition to the classes and exercises, the following problems will be solved step by step:
•Optimization on how to install a fence in a garden
•Route optimization problem
•Maximize the revenue in a rental car store
•Optimal Power Flow: Electrical Systems

The classes use examples that are created step by step, so we will create the algorithms together.
Besides this course is more concerned with mathematical approaches, you will also learn how to solve problems using artificial intelligence (AI), genetic algorithm, and particle swarm.
Don’t worry if you do not know Python or how to code, I will teach you everything you need to start with optimization, from the installation of Python and its basics, to complex optimization problems.
I hope this course can help you in your carrier. Yet, you will receive a certification from Udemy.

See you in the classes!

Requirements

• Some knowledge in programming logic
• Why and where to use optimization
• It is NOT necessary to know Python

You will learn

✓ Solve optimization problems using linear programming, mixed-integer linear programming, nonlinear programming, mixed-integer nonlinear programming,
✓ LP, MILP, NLP, MINLP
✓ Main solvers and frameworks, including CPLEX, Gurobi, and Pyomo
✓ Genetic algorithm, particle swarm, and constraint programming
✓ From the basic to advanced tools, learn how to install Python and how to use the main packages (Numpy, Pandas, Matplotlib…)
✓ How to solve problems with arrays and summations

This course is for

• Undergrad, graduation, master program, and doctorate students.
• Companies that wish to solve complex problems
• People interested in complex problems and artificial inteligence

How much does the Optimization with Python: all you need for LP-MILP-NLP-MINLP course cost? Is it worth it?

The course costs $11.99. And currently there is a 76% discount on the original price of the course, which was $49.99. So you save $38 if you enroll the course now.
The average price is $12.6 of 16 Optimization Problem courses. So this course is 5% cheaper than the average Optimization Problem course on Udemy.

Does the Optimization with Python: all you need for LP-MILP-NLP-MINLP course have a money back guarantee or refund policy?

YES, Optimization with Python: all you need for LP-MILP-NLP-MINLP has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Optimization with Python: all you need for LP-MILP-NLP-MINLP course, but there is a $38 discount from the original price ($49.99). So the current price is just $11.99.

Who is the instructor? Is Rafael Silva Pinto a SCAM or a TRUSTED instructor?

Rafael Silva Pinto has created 1 courses that got 7 reviews which are generally positive. Rafael Silva Pinto has taught 24 students and received a 5.0 average review out of 7 reviews. Depending on the information available, Rafael Silva Pinto is a TRUSTED instructor.

More info about the instructor, Rafael Silva Pinto

Engenheiro Eletricista, gerente de P&D e estudante PhD
Possuo graduação e mestrado em Engenharia Elétrica, curso doutorado em técnicas de otimização e inteligência artificial aplicados a sistemas elétricos, tenho um MBA em Gestão de Negócios e especialização em Ciência de Dados e Big Data. Atualmente sou gerente de pesquisa e desenvolvimento em uma grande empresa de logística do Brasil, atuando em projetos de otimização, inteligência artificial, IOT e sensoriamento.

9.9

CourseMarks Score®

10.0

Freshness

10.0

Feedback

9.2

Content

Platform: Udemy
Price: $11.99
Video: 6h 57m
Language: English
Next start: On Demand

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