Overview
Syllabus
Intro
What do I mean by "Artificial Intelligence"?
Types of Al Models
Constraint-Based Optimization
Classes of Problems
Feasibility vs. Optimization
Constraint: A Required Condition
Types of constraints
Objective: A Goal for the Solution
Constraint Programming: Sudoku
Linear Example: Pete's Pottery Paradise
Pottery Production - Solution Space
Pottery Production - The Polytope
Defining an Optimization Model
Decision Variables
Execute the Model
Mixed-Integer Example: Scheduling
LP Model - Variables
LP Model - Constraints
MIP Model - Variables
MIP Model - Constraints
MIP Model - Objective Example
Summary
Resources
Taught by
NDC Conferences