Class SalaryCapOptimizer

java.lang.Object

org.episteme.social.sports.SalaryCapOptimizer

public final class SalaryCapOptimizer
extends Object

Provides algorithms for optimizing sports rosters under financial salary cap constraints. Uses a greedy approximation of the Knapsack problem.

Since:

1.0

Version:

1.1

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final record	SalaryCapOptimizer.Player	Data model for a player's performance and salary.

Method Summary

Modifier and Type	Method	Description
static List<SalaryCapOptimizer.Player>	optimizeRoster(List<SalaryCapOptimizer.Player> pool, double budget)	Optimizes a roster by selecting the best rated players within a total budget.

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

optimizeRoster

public static List<SalaryCapOptimizer.Player> optimizeRoster(List<SalaryCapOptimizer.Player> pool,
 double budget)

Optimizes a roster by selecting the best rated players within a total budget. Uses a efficiency-based greedy approach (rating per dollar).

Parameters:

pool - available players

budget - maximum total salary spend

Returns:

the optimized roster of players