seniorGenetic Algorithms
What is selection pressure in Genetic Algorithms?
Updated May 16, 2026
Short answer
Selection pressure measures how strongly better solutions are favored during selection.
Deep explanation
High selection pressure accelerates convergence but risks premature convergence. Low pressure maintains diversity but slows optimization. It is controlled via selection methods like tournament size or fitness scaling.
Real-world example
In hiring systems, strict filters increase selection pressure but may discard diverse talent.
Common mistakes
- Using extremely high pressure leading to loss of diversity.
Follow-up questions
- How is selection pressure measured?
- Which selection method has highest pressure?