Optimization　issues　are　of　great　importance　to　both　the　industrial　and　scientific　worlds.　Artificial　Fish　Swarm　Algorithm　(AFSA)　is　a　clever　optimization　algorithm　founded　on　a　behaviour　inspired　by　the　nature.　The　enhanced　artificial　fish　swarm　algorithm　(EAFSA),　settled　on　chaotic　model,　is　applied　to　optimize　the　Proportional　Integral　Derivatives　PID　parameters,　which　increases　the　dynamic　of　the　tuning　mechanism　and　improves　its　fundamental　behaviour.　The　simulation　results　show　that　this　optimization　algorithm　gives　faster　response,　shorter　adjustment　time　and　smaller　overshoot.