In　this　article,　a　novel　Hybrid　method　based　on　particle　swarm　optimization　and　ant　colony　optimization　(HPA)　is　proposed　to　forecast　automobile　sales　of　China.　Proposed　hybrid　model　integrating　particle　swarm　optimization　and　ant　colony　optimization　for　estimation　of　Chinese　automobile　sales　(HPAE)　is　the　first　model　using　aforementioned　meta-heuristic　techniques.　HPA　is　developed　for　automobile　sales　forecasting　using　highway　mileage,　gross　domestic　product,　automobile　ownership,　and　consumer　price　index.　HPAE　is　developed　in　two　forms　including　both　Linear　(HPAEL)　and　Quadratic　(HPAEQ).　Then,　in　order　to　show　the　accuracy　of　the　algorithm,　a　comparison　is　made　with　ant　colony　optimization　and　particle　swarm　optimization.　The　results　show　that　mean　absolute　errors　of　the　HPAE　model　are　the　best　among　them,　and　better-fit　solutions　are　provided　by　quadratic　form　(HPAEQ)　due　to　fluctuations　of　the　influential　indicators　in　China.