seniorGenetic Algorithms
What is a fitness landscape in Genetic Algorithms?
Updated May 16, 2026
Short answer
A fitness landscape is a visualization of how solutions map to fitness values across a search space.
Deep explanation
A fitness landscape represents all possible solutions (genotypes) and their corresponding fitness values. Peaks represent optimal solutions, valleys represent poor solutions. GA performance depends heavily on landscape properties like ruggedness, neutrality, and modality. Rugged landscapes have many local optima, making optimization harder.
Real-world example
Hyperparameter tuning in machine learning where each configuration has a performance score.
Common mistakes
- Assuming smooth landscapes
- many real problems are highly rugged and deceptive.
Follow-up questions
- What makes a landscape deceptive?
- How do GAs handle rugged landscapes?