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Operations Research & Optimization Projects With Python

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Operations Research & Optimization Projects With Python
Operations Research Optimization Projects With Python

Mastering Optimization Techniques: From Linear Programming to Machine Learning-Enhanced Algorithms

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Udemy Coupon Code for Operations Research & Optimization Projects With Python Course. Mastering Optimization Techniques: From Linear Programming to Machine Learning-Enhanced Algorithms

Created by Advancedor Academy | 20 hours on-demand video course

Operations Research Course Overview

Operations Research & Optimization Projects With Python

Welcome to this comprehensive course on Operations Research and Optimization, where you will master a range of optimization techniques essential for solving complex real-world problems. Whether you are starting out or an experienced professional looking to expand your knowledge in advanced algorithms, this course offers valuable insights and practical skills.

Throughout this course, we will cover key topics such as linear programming, discrete optimization, and stochastic processes. You will also explore sophisticated areas including machine learning-enhanced optimization algorithms, genetic algorithms, and multi-objective decision making. Each module is designed to gradually build your understanding, with practical examples and interactive exercises that directly apply to real-life scenarios.

We’ll examine specific applications such as optimizing supply chains, dynamic programming in revenue management, and solving scheduling problems. You’ll learn to use popular tools and libraries in Python, such as Gurob,SciPy, PuLP, Or-Tools equipping you with the skills to effectively implement these techniques in your projects.

What you’ll learn

  • Master the use of Python for optimizing supply chains and factory operations.
  • Build Python models to plan manpower effectively and optimize network flows.
  • Leverage Python libraries for scheduling, routing, and inventory management simulations.
  • Solve complex facility location and capacity problems using Python-based algorithms.
  • Utilize Python for advanced operations research techniques like stochastic processes, game theory, and dynamic programming.
  • Integrate multi-objective decision-making tools for enhanced operational strategies.
  • Implement robust optimization and stochastic models to manage uncertainty in operations.

Numerical Optimization and Operations Research in Python

Numerical Optimization and Operations Research in Python

Use data efficiently to support decision-making exploring Operations Research and Optimization in Python

Numerical Optimization and Operations Research in Python. Learn how to use data efficiently to support decision-making by using numerical optimization and operations research with this comprehensive course. It successfully combines theoretical foundations and practical applications, designed to empower you with the skills needed to tackle complex optimization problems in a professional or academic context.

Optimization with Python: Solve Operations Research Problems

Optimization with Python: Solve Operations Research Problems

Solve optimization problems with CPLEX, Gurobi, Pyomo… using linear programming, nonlinear, evolutionary algorithms

The Optimization with Python: Solve Operations Research Problems classes use examples that are created step by step, so we will create the algorithms together. Besides this course is more focused in mathematical approaches, you will also learn how to solve problems using artificial intelligence (AI), genetic algorithm, and particle swarm.

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Taught by Advancedor Academy

Josh Smith
Josh Smith

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