In　order　to　evaluate　the　comprehensive　benefits　of　forest　ecological　economy,　a　model　based　on　discrete　particle　swarm　optimization　is　proposed.　First　of　all,　the　discrete　particle　swarm　optimization　algorithm　is　defined　and　introduced　into　the　evaluation　parameters　of　forest　ecological　and　economic　benefits　for　internal　processing,　and　the　evaluation　model　of　forest　ecological　and　economic　benefits　is　constructed.　Optimize　the　system　evaluation　of　the　model,　continuously　develop　the　internal　model　structure　adjustment　operation,　and　finally　obtain　the　experimental　data　needed　by　the　system.　The　experimental　results　show　that　the　model　based　on　the　discrete　particle　swarm　optimization　algorithm　has　better　convergence,　better　optimization　and　robustness,　and　has　higher　practical　application　value.　(C)　2021　Elsevier　B.V.　All　rights　reserved.