Optimization objectives for the genetic algorithm.
Maximize the fitness value (higher scores are better; e.g., accuracy, profit, score).
Minimize the fitness value (lower scores are better; e.g., error rate, cost, distance).
Optimization objectives for the genetic algorithm.