10最好的优化问题教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 优化问题 技能并获得 优化问题 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 优化问题 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的优化问题教程推荐

课程名 在校生（人数） 评论（计数）
1. Pyomo Bootcamp: Python Optimization from Beginner to Advance 我们的最佳选择 65728+ 612+
2. Optimization Using Pattern Search Method: MATLAB Programming 19977+ 138+
3. Complete guide to Modern Mathematical Optimization in GAMS 14310+ 199+
4. Optimization problems and algorithms 5854+ 1268+
5. Mathematical Optimization with GAMS and Pyomo (Python) 4489+ 179+
6. Optimization with Python: Solve Operations Research Problems 4264+ 628+
7. Multi-objective Optimization Problems and Algorithms 2668+ 435+
8. Combinatorial Problems and Ant Colony Optimization Algorithm 2181+ 373+
9. Optimizing Travelling Salesman and Vehicle Routing Problems 1089+ 243+
10. Optimal Sizing of Hybrid Renewable Energy Systems with Homer 591+ 92+

1. Pyomo Bootcamp: Python Optimization from Beginner to Advance 经过 Optimization Team Udemy课程 我们的最佳选择

“Guide for building optimization probelm (operation research) in Pyomo Jupyter and solve it using CPLEX, Gurobi and IPOPT”

截至目前，超过 65728+ 人们已经注册了这门课程，而且已经结束了 612+ 评论.

课程内容
Introduction
Pyomo Elements
30+ Solved Projects
Some variants of previously solved examples
Extra lectures

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2. Optimization Using Pattern Search Method: MATLAB Programming 经过 Karthik K Udemy课程

A Quick Way to Learn and Solve Optimization Problems in MATLAB. A Course for Beginners.

截至目前，超过 19977+ 人们已经注册了这门课程，而且已经结束了 138+ 评论.

课程内容
Introduction to Optimization
Objective or Fitness Functions
Direct/Pattern Search with MATLAB

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3. Complete guide to Modern Mathematical Optimization in GAMS 经过 Optimization Team Udemy课程

From Zero to Hero

截至目前，超过 14310+ 人们已经注册了这门课程，而且已经结束了 199+ 评论.

课程内容
Pre-Class note (Read before you start)
Introduction
Solved Problems in GAMS

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4. Optimization problems and algorithms 经过 Seyedali Mirjalili Udemy课程

“How to understand, formulate, and tackle the difficulties of optimization problems using heursitic algorithms in Matlab”

截至目前，超过 5854+ 人们已经注册了这门课程，而且已经结束了 1268+ 评论.

课程内容
Introduction
Optimization problems
Optimization of problems with one objective
Particle Swarm Optimization (PSO)
Optimization of problems with constraints
Optimization of problems with discrete variables
Optimization of problems with multiple objectives
Optimization of problems with uncertainties
Bonus videos (FAQ)
Thank You

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5. Mathematical Optimization with GAMS and Pyomo (Python) 经过 “Hossein Shahandeh, Sanjula Kammammettu” Udemy课程

Learn how to mathematically formulate 16 business problems and find their optimal solutions with GAMS and Pyomo (Python)

截至目前，超过 4489+ 人们已经注册了这门课程，而且已经结束了 179+ 评论.

课程内容
Course introduction
Installation and setting up
Introduction to mathematical optimization
Introduction to linear programming (LP) using GAMS and Pyomo
Introduction to nonlinear programming (NLP) using GAMS and Pyomo
Introduction to mixed-integer linear programming (MILP) using GAMS and Pyomo
Introduction to mixed-integer nonlinear programming (MINLP) using GAMS and Pyomo
Wrap up

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6. Optimization with Python: Solve Operations Research Problems 经过 Rafael Silva Pinto Udemy课程

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

截至目前，超过 4264+ 人们已经注册了这门课程，而且已经结束了 628+ 评论.

课程内容
Introduction to the course
Installing Python
Starting with Python
Introduction to mathematical modelling
Linear Programming (LP)
Working with Pyomo
Mixed-Integer Linear Programming (MILP)
Nonlinear Programming (NLP)
Mixed-Integer Nonlinear Programming (MINLP)
Genetic Algorithm and Particle Swarm
Constraint Programming (CP)
Special Cases
Advanced Features for Pyomo
More exercises and modeling
Conclusion

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7. Multi-objective Optimization Problems and Algorithms 经过 Seyedali Mirjalili Udemy课程

How to handle multiple objectives using a wide range of optimization algorithms

截至目前，超过 2668+ 人们已经注册了这门课程，而且已经结束了 435+ 评论.

课程内容
Part 1: Introduction
Part 2: Multi-objective Optimization Problems
Part 3: Preliminaries and Essential Definitions in Multi-objective Optimization
Part 4: Multi-objective Algorithms
Bonus Video

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8. Combinatorial Problems and Ant Colony Optimization Algorithm 经过 Seyedali Mirjalili Udemy课程

“Let’s learn Artificial Intelligence search methods: optimization, exact algorithms, heuristics, and metaheuristics”

截至目前，超过 2181+ 人们已经注册了这门课程，而且已经结束了 373+ 评论.

课程内容
Introduction
Combinatorial Optimization Problems
Combinatorial Optimization Algorithms
Ant Colony Optimization
Bonus Vidoes

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9. Optimizing Travelling Salesman and Vehicle Routing Problems 经过 Curiosity for Data Science Udemy课程

Learn optimization through Simulated Annealing and Tabu Search and solve the TSP and VRP problems with constraints!

截至目前，超过 1089+ 人们已经注册了这门课程，而且已经结束了 243+ 评论.

课程内容
Introduction
Simulated Annealing
Tabu Search
Constraint Handling
Travelling Salesman Problem
Vehicle Routing Problem
BONUS OFFER!!

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10. Optimal Sizing of Hybrid Renewable Energy Systems with Homer 经过 Navid Shirzadi Udemy课程

“Learn about Integration of Renewable Energy Systems, Wind Turbines, Solar PV Panels, Economic Analysis and Microgrid”

截至目前，超过 591+ 人们已经注册了这门课程，而且已经结束了 92+ 评论.

课程内容
Introduction
Downloading and Installation of the Homer Software
Explaining the Interface of Homer Software
Introduction to integration of renewable energy systems
Creating Standalone Microgrid Model
Analyzing the Results
Improving the Results of the Model
Designing an Urban Microgrid
Sensitivity Analysis
Bonus

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下面是一些关于学习的常见问题优化问题

学习优化问题需要多长时间？

“学习优化问题需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 优化问题 是为了什么？你的出发点在哪里？您是初学者还是有使用 优化问题 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 优化问题.

优化问题 学起来容易还是难？

不，学习 优化问题 对大多数人来说并不难。检查这个 关于如何学习的课程 优化问题 立刻！

如何快速学习优化问题？

学习 优化问题 最快的方法是先得到这个 优化问题 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 优化问题？

如果您想探索和学习 优化问题，那么 Udemy 为您提供了学习 优化问题 的最佳平台。查看此 关于如何学习的课程 优化问题 立刻！