In this paper, we presents a social simulation model for planning migration to no man's land. The model maximize both the economic output and job satisfaction for the workforce with sustainability in the scope. We build a self-adaptive system and define its dynamics. We run simulations of the system with real-world census data(PUMS 2015) to find out the optimal feasible solution. The model simulate the dynamic evolution of Population Zero. Consisting of various systems such as job, marriage, child generation, education, salary, salvation and migration system, this model evolves like our real world. We discuss one sample result in details using demographics, economics and Happiness Index. In addition, we use this model to find the equilibrium point between two contradictory goals of faster economic development and better social welfare. Finally, we study the effect of new immigrant waves.
Huebler, Friedrich (14 June 2013). "Education indicators in the HDI: Expected years of schooling and mean years of schooling". UNESCO Institute for Statistics. Archived from the original on 2014-10-08.
Roelof J. van Kooij, Caspar W.N. Looman, Johannes D.F. Habbema, Marinus Dorland, Egbert R. te Velde, Age-dependent decrease in embryo implantation rate after in vitro fertilization, Fertility and Sterility, Volume 66, Issue 5, November 1996, Pages 769-775, ISSN 0015-0282,http://dx.doi.org/10.1016/S0015-0282(16)58634-8.