Genetic Algorithms - The Nature of Code

Explore genetic algorithms through this comprehensive video series that covers evolutionary computing principles and their practical implementation in programming. Learn the fundamental concepts of genetic algorithms including fitness functions, selection methods, genotype versus phenotype distinctions, and crossover techniques through detailed explanations and hands-on coding examples. Master the creation of evolutionary systems by working through classic examples like the Shakespeare monkey problem, smart rockets simulation, and traveling salesperson optimization. Discover how to implement pool selection, weighted selection, and interactive selection methods while building continuous evolutionary systems. Practice applying genetic algorithms to real-world problems including pathfinding with smart rockets, solving the traveling salesperson problem with crossover techniques, and developing evolutionary steering behaviors for autonomous agents. Gain practical coding experience using p5.js while understanding the theoretical foundations of evolutionary computing and natural selection principles in algorithm design.

Syllabus

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 #29: Smart Rockets in p5.js
Coding Challenge #35.4: Traveling Salesperson with Genetic Algorithm
Coding Challenge #35.5: TSP with Genetic Algorithm and Crossover
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)
9.x: Genetic Algorithms and Evolutionary Computing - The Nature of Code