＂Extremely　High　Frequency　(EHF)＂　and　＂Very　high　frequency　(VHF)＂　bands　are　mainly　utilized　with　＂Underwater　Wireless　Sensor　Networks　(UWSNs)＂　for　communication　purposes.　However,　due　to　the　mobility　of　underwater　sensors　in　water　because　of　the　water　tide,　the　EHF/VHF　signals　may　attenuate,　lose　or　fade　depending　on　the　condition　of　the　water.　Therefore,　it　is　a　challenging　stint　of　finding　the　optimal　parameters　of　UWSN　topology　planning.　In　this　paper,　three　＂Multi-Objective　Optimization　Algorithms　(MOOAs)＂　have　been　utilized　to　mitigate　this　problem,　namely　MOSFP,　SPEA2　and　NSGA-II.　This　work　also　intends　to　minimize　path　loss.　On　the　other　hand,　it　intends　to　maximize　the　power　density　of　the　network.　Various　network　configurations,　such　as　distance　between　sender　and　receiver,　water　conductivity　and　water　permeability,　are　considered　to　evaluate　the　proposed　objective　models.　Qualitative　and　quantitative　tests　have　been　conducted　to　analyze　the　results.　From　the　analysis　of　the　intersection　point　of　Pareto-front　of　the　objective　functions,　it　is　shown　that　all　the　algorithms　find　the　optimal　distance　between　transmitter　and　receiver,　which　balances　the　aforementioned　maximization　and　minimization　objective　functions.　This　value　is　36　m.