M32.1 CONNECT THE MECHANISM
Search with a population of varied candidates
No engineer drew the bent-paperclip antenna that flew on three NASA satellites; a program evolved it. Use the same trick to pack a hiking bag, and watch a population improve or get stuck.
LESSON OVERVIEW14 min lesson
Lesson overview
No engineer drew the bent-paperclip antenna that flew on three NASA satellites; a program evolved it. Use the same trick to pack a hiking bag, and watch a population improve or get stuck.
What you’ll explore
- Evolutionary algorithms evaluate candidate populations and create new variants through selection, mutation, and sometimes recombination; representation and evaluation budgets shape the search.
GO TO THE SOURCE
Original explanations, connected to the research.
Adaptation in Natural and Artificial Systems (Holland, 1975; MIT Press edition 1992)Evolution strategies: A comprehensive introduction (Beyer & Schwefel, 2002)Computer-automated evolution of an X-band antenna for NASA's Space Technology 5 mission (Hornby et al., 2011)Artificial Intelligence: A Modern Approach — authors’ materialsSuggest a correction
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