explanation
Optimization with Python: Solving Operations Research Problems is a course on optimizing and solving operations research problems using the Python programming language published by Udemy Academy. During this course, you will use a variety of tools, including CPLEX, Gurobi, and Pyomo optimal modeling languages, linear and nonlinear programming, and evolutionary algorithms. Solve complex optimization problems. Long-term operational planning of various companies has become very difficult and complicated due to rapid changes in available data and the need for quick and periodic decisions, and presents modern challenges to engineers. In this regard, optimization algorithms represent one of the best opportunities to find optimal solutions to changing problems.
In this course you will work with various libraries and frameworks such as CPLEX, Gurobi, GLPK, CBC, IPOPT, Couenne, SCIP, Pyomo, Or-Tools, PuLP and Pymoo and you will learn some very important things. Implementing linearization techniques when working with binary variables is another very important teaching topic in this course. The instructors of the course focused more on purely mathematical approaches, but also moved towards artificial intelligence, genetic algorithm development and particle swarm optimization methods. The course is designed for beginners and those with no experience in optimization, in this regard the first two sections are devoted to the basic principles of Python programming and mathematical modeling.
What you will learn in Optimization with Python: Solving Operations Research Problems
- Knowledge of different types of optimization such as analytical and metaheuristic methods.
- Linear Programming (LP)
- Integer Linear Programming (MILP)
- Nonlinear Programming (NLP)
- Integer Nonlinear Programming (MINLP)
- Genetic Algorithm (GA)
- Multi-objective optimization with NSGA-II
- Particle Swarm Optimization (PSO) Method
- Constrained Programming (CP)
- SCOP (Dual Cone Programming)
- Optimize your garden fencing installation project (maximum space with minimum fencing)
- Solve routing problems with optimization technology
- Maximum increase in sales at rental car stores
- Electrical optimization of electrical systems
- Introduction to Mathematical Modeling
- Understand the basics of the Python programming language.
- complex
- Gurobi
- GLPK
- CBC
- IPOPT
- Cowen
- SCIP
- Work with Pyomo, Or-Tools, PuLP and Pymoo frameworks
Course specifications
Publisher: Udemy
teacher: Rafael Silva Pinto
Language:English
Level: Beginner~Advanced
Number of classes: 90
Duration: 13 hours 21 minutes
course topic
Optimization with Python: Prerequisites for solving operations research problems
Some knowledge of programming logic
Why and where to use optimization
You don’t need to know Python
movie
Optimization with Python: Introduction to Solving Operations Research Problems Video
installation manual
After extracting, watch with your favorite players.
English subtitles
Quality: 720p
download link
File password: free download software
size
2.08GB