This　article　focuses　on　the　research　of　optimization　methods　for　constellation　launch　deployment　strategies　considering　the　constraints　of　mission　interval　time　at　the　launch　site.　Firstly,　a　dynamic　modeling　of　the　constellation　deployment　process　is　conducted,　and　the　relationship　between　the　deployment　window　and　the　phase　difference　of　the　orbit　insertion　point,　as　well　as　the　cost　of　phase　adjustment　after　orbit　insertion,　are　derived.　Then,　the　combination　of　constellation　deployment　position　sequence　is　taken　as　a　parameter,　together　with　the　sequence　of　satellite　deployment　intervals,　as　optimization　variables,　which　simplifies　a　high-dimensional　search　problem　within　a　wide　range　of　dates　to　a　finite-dimensional　integer　programming　problem.　Genetic　algorithms　are　introduced　to　optimize　the　launch　deployment　strategy.　Through　simulation　verification,　the　optimization　method　proposed　in　this　article　has　high　search　efficiency　and　optimal　results.　©　2024　Technical　Committee　on　Control　Theory,　Chinese　Association　of　Automation.