A　novel　concept　of　the　dynamic　optimum　design　of　intelligent　AC　contactor　has　been　developed　and　investigated　in　the　whole　course,　based　on　Ant　Colony　Algorithm　and　Artificial　Neural　Network.　Ant　colony　algorithm　is　applied　to　optimal　design　of　the　control　and　structure　parameters　of　intelligent　AC　contactor　in　closing　course,　realizing　saving-energy　and　saving-material,　the　core　striking　energy　has　been　reduced,　the　contacts　bounce　have　been　lightened　greatly.　A　lot　of　experiments　to　survey　the　curve　of　the　coil　potential　have　been　done.　As　the　excitation　coil　potential　is　too　big　to　survey　easily,　the　testing　coil,　which　includes　less　number　of　windings,　is　been　circled　on　the　excitation　coil.　Through　surveying　the　testing　coil　potential　to　reflect　the　excitation　coil　potential,　the　algorithm　has　been　successfully　used　in　the　optimal　design　of　intelligent　AC　contactor,　and　this　method　provides　the　foundation　of　designing　the　high　performance　of　the　intelligent　AC　contactor.