Evolutionary algorithm

High school (ages 12+)
Science & Technology

Name:

Date:

Step 1 · Read the article

Open the article and read it at the level above. Then answer the questions below in your own words.

https://smallwhale.org/articles/evolutionary-algorithm

Write what each word means, using the article.

Do not copy the article. Write two things you learned, the way you would explain them to a friend.

Answers below are taken from the article’s stored facts, so they match what the student read.

1. What is the algorithmic paradigm?Population-based metaheuristic search and optimization
2. What is the core evolutionary operators?Selection, Crossover (Recombination), and Mutation
3. What are evolutionary algorithms?They are computer programs that learn like animals, trying many solutions and keeping the best ones to solve hard problems.
4. How do evolutionary algorithms find good solutions?They start with many possible answers, then use selection, crossover, and mutation to create new generations that are usually better.

Population-Based Algorithm: An algorithm that maintains and evolves a set of candidate solutions simultaneously.
Fitness Landscape: A conceptual representation of the search space, where peaks represent good solutions and valleys represent poor ones.
Premature Convergence: When an EA's population becomes too similar too early, hindering further exploration and potentially trapping it in a suboptimal solution.