The　most　important　aspect　in　IoT　is　security.　The　provision　of　security　in　IoT　systems　is　the　responsibility　of　a　trust　management　mechanism.　However,　a　trust　management　mechanism　comprises　a　number　of　components　of　which　secure　routing　is　vital　among　them.　There　are　a　number　of　effective　parameters　in　secure　routing　which　have　been　considered　in　the　presented　multi-objective　optimization　model.　In　this　study,　Multi-Objective　Learning　Automata　(MOLA)　was　used　to　solve　secure　routing　problem　which　can　simultaneously　optimize　all　parameters.　There　exist　three　methods　of　training　LA　and　the　results　of　the　different　methods　were　compared　in　this　study.　The　proposed　approach　can　be　used　with　both　administrator　and　users　because　their　requirements　are　considered　in　a　model　and　it　is　quite　easy　for　administrator　and　users　to　comprehend.　©　Medwell　Journals,　2019.