Factor-Selection Operator (500 → 15)
In complex systems such as plant breeding, financial markets, or large-scale decision models, hundreds of variables influence outcomes. Evaluating all simultaneously introduces noise and inefficiency.
The Factor-Selection Operator dynamically reduces the full factor space to the most influential subset at time t.
Selection Operator
S(t): {x₁, x₂, …, x₅₀₀} → {xₖ₁, xₖ₂, …, xₖ₁₅}
Importance Function
Importanceᵢ(t) = w₁Rᵢ(t) + w₂Hᵢ + w₃Vᵢ(t)
- Rᵢ(t) – Time-specific relevance
- Hᵢ – Stability / heritability
- Vᵢ(t) – Variance / responsiveness
- w₁, w₂, w₃ – User-controlled priorities
Interactive Importance Calculator
Weight Parameters
Interpretation:
Higher importance scores indicate a greater likelihood that the factor will be selected among the top 15 under the current weighting strategy.
Higher importance scores indicate a greater likelihood that the factor will be selected among the top 15 under the current weighting strategy.
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