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