def compute_optimal_position(self, transaction):
    # Initial position based on transaction hash
    base_position = hash_to_coordinates(transaction.hash)
    
    # Apply environmental constraints
    local_density = self.octree.query_density(base_position)
    force_vectors = self.calculate_environmental_forces(base_position)
    
    # Optimize position using simulated annealing
    final_position = self.optimize_position(base_position, local_density, force_vectors)
    return final_position