Fuel　and　exhaust　gas　emission　is　one　of　the　main　causes　of　environmental　pollution　due　to　transportation.　In　the　logistics　distribution　network,　considering　customer　satisfaction　and　three-dimensional　container　loading　restraint　and　energy　consumption,　a　multiobjection　optimization　model　of　vehicle　routing　is　constructed　in　this　paper,　which　is　complex　NP-Hard　problem.　A　novel　hybrid　particle　swarm　optimization　algorithm　is　proposed　for　solving　the　multiobjection　optimization　model,　which　can　give　a　Pareto　solution　set.　In　order　to　help　the　decision　makers　in　choosing　a　balanced　optimal　reference　solution　from　Pareto,　grey　relation　analysis　is　introduced　to　evaluate　Pareto　solutions,　and　the　three　dimensional　container　loading　vehicle　routing　optimization　scheme　with　soft　window　constraint　is　obtained.　The　research　results　show　that　the　optimization　and　the　algorithm　are　feasible.　©　2017　IEEE.