Using　bio-inspired　agents　to　reorganize　resource　has　been　adopted　to　address　the　distributed　resource　optimization　issue　in　distributed　networks.　This　paper　presents　a　self-organization　algorithm　to　reorganize　resources　by　the　use　of　autonomous　agents　which　can　exchange　their　resources　each　other.　Agents　are　equipped　with　two　operations　(pull　and　push　operation)　and　three　behaviors　(best　selection,　better　selection　and　random　selection).　And　at　every　moment,　agents　probabilistically　choose　a　behavior　to　perform.　Experimental　results　indicate　that　the　strategy　has　a　positive　influence　on　system　performance.　©　2012　Springer-Verlag.