<prompt> Kuandika multi-threaded tathmini kazi kwa algorithm maumbile. Inachukua katikastd:: vector mawakala na tathmini Agent.fitness_score kwa kila mawakala.  <response>: Here is an example code for a multi-threaded evaluation function in C:include include struct Agent ... double fitness_score; ...;const int kNumThreads 4;void evaluateAgentsstd::vector agents int num_agents agents.size; Split agents into kNumThreads batches int batch_size num_agents kNumThreads; std::vector::iterator batch_startkNumThreads; std::vector::iterator batch_endkNumThreads; for int i 0; i kNumThreads; i batch_starti agents.begin i batch_size; batch_endi i kNumThreads - 1 ? agents.end : agents.begin i 1 batch_size; Evaluate fitness scores in parallel std::vector threads; for int i 0; i kNumThreads; i threads.emplace_backbatch_start, batch_end for auto it batch_starti; it ! batch_endi; it it-fitness_score it-evaluateFitness; ; for auto thread : threads thread.join; In this example, the evaluateAgents function takes in a vector of Agents and evaluates their fitness scores in parallel using kNumThreads threads. First, the function splits the agents vector into kNumThreads batches of roughly equal size. Then, it launches kNumThreads threads, each of which evaluates the fitness scores of the agents in one batch. Finally, the function waits for all threads to finish before returning. The actual fitness evaluation is done by calling the evaluateFitness method of each Agent, which presumably computes some measure of how well each agent performs in the problem at hand. 