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All LessonsFree Lessons (5)

Introduction

Introduction to the Course Tools to Implement Optimization Algorithms Getting Started with Optimization Basic Optimization Problems Solutions to Basic Optimization Problems Conclusion

Derivatives and Gradients

Introduction Derivatives Derivatives in Multiple Dimensions Second-Order Derivatives and the Hessian Solving Problems with the Gradient and the Hessian Exercises Solutions Quiz: Derivatives and Gradients

First Optimization Algorithms

Introduction Binary Search Binary Search Implementation Gradient Descent Newton's Method Multiple Variables Using SciPy Exercises Solutions Quiz: First Optimization Algorithms

Population Methods

Genetic Algorithms

Applying Genetic Algorithms

Particle Swarm Optimization

Solution to Exercise 1: Using Both Algorithms

Solution to Exercise 2: Assigning Tasks

Solution to Exercise 3: Finding the Best Way to Travel

Solution to Exercise 4: Finding the Best Connection

Quiz: Population Methods

Adding Constraints

Constrained Optimization Removing Equality Constraints Penalty Methods Exercises Solutions Quiz: Constraints

Project

Solving Sudoku and the 8-Queens Puzzle as Constraint Satisfaction

Linear Constrained Optimization

Introduction to Linear Optimization Solving Linear Problems Integer Programs Solving Integer Problems with CVXPY Exercises Solutions Quiz: Linear Constrained Optimization

Summary and Conclusion

Summary Conclusion

Appendix

Tools Installation

Project

Maze Solver Using the Ant Colony Optimization Algorithm

Mastering Optimization with Python/

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Quiz: Population Methods

Quiz: Population Methods

Let's test our theoretical knowledge of population algorithms.

We'll cover the following...

Quiz on Population Algorithms

1.

What are population algorithms?

A.

Exact algorithms

B.

Heuristics

C.

Approximate algorithms

D.

They aren’t algorithms.

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