🧬 Genetic Algorithm

Evolution for finding the optimal solution

What is GA?

Genetic algorithm — optimization method inspired by biological evolution. The population "of individuals" evolves to the best solution.

Initialization (random population)

Evaluation (fitness function)

Selection (selecting the best)

Crossover (crossing over)

Mutation (random changes)

New generation → step 2

Objective: find the phrase

"Hello, World!"

Best individual:

---

Fitness (similarity):

🎮 Games: AI and NPC behavior

📦 Logistics: Optimal routes

🏭 Engineering: Design structures

💊 Medicine: Drug Development

📈 Finance: Trading strategies

Population size: 100

Mutation probability: 1%

Speed: 50ms

Generation: 0 | Best fitness: 0% | Average: 0%