Genetic Algorithms - Intelligence and Learning - Session 2

Explore genetic algorithms through a comprehensive video series that demonstrates how evolutionary computation can solve complex problems. Learn the fundamental concepts of genetic algorithms including fitness functions, genotype versus phenotype relationships, and various selection methods like pool selection and weighted selection. Master practical implementation through hands-on coding challenges that cover evolutionary steering behaviors, the traveling salesperson problem, and interactive selection systems. Discover how to create continuous evolutionary systems and improve fitness functions for better algorithm performance. Work through detailed examples including the Shakespeare monkey problem and lexicographic ordering approaches. Gain experience with crossover techniques and understand how genetic algorithms can be applied to optimization problems in artificial intelligence and machine learning contexts.

Syllabus

2.1: Introduction to Session 2 - Intelligence and Learning
9.1: Genetic Algorithm: Introduction - The Nature of Code
9.2: Genetic Algorithm: How it works - The Nature of Code
9.3: Genetic Algorithm: Shakespeare Monkey Example - The Nature of Code
9.4: Genetic Algorithm: Looking at Code - The Nature of Code
9.5: Genetic Algorithm: Fitness, Genotype vs Phenotype - The Nature of Code
9.6: Genetic Algorithm: Improved Fitness Function - The Nature of Code
9.7: Genetic Algorithm: Pool Selection - The Nature of Code
9.8: Weighted Selection (for Genetic Algorithms) - The Nature of Code
9.9: Genetic Algorithm: Interactive Selection - The Nature of Code
9.10: Genetic Algorithm: Continuous Evolutionary System - The Nature of Code
Coding Challenge #69: Evolutionary Steering Behaviors - Part 1
Coding Challenge #69: Evolutionary Steering Behaviors - Part 2
Coding Challenge #69: Evolutionary Steering Behaviors - Part 3
Coding Challenge #69: Evolutionary Steering Behaviors - Part 4
Coding Challenge #69: Evolutionary Steering Behaviors - Part 5 (Bonus)
Coding Challenge 35: Traveling Salesperson
Coding Challenge #35.2: Lexicographic Order
Coding Challenge #35.3: Traveling Salesperson with Lexicographic Order
Coding Challenge #35.4: Traveling Salesperson with Genetic Algorithm
Coding Challenge #35.5: TSP with Genetic Algorithm and Crossover
2.2: Exercise Ideas: Session 2 - Intelligence and Learning