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A Soft Computing technique is one of the essential problems solving techniques for the researchers present in the world. Compared to other issues solving techniques, the Soft Computing domain gives outstanding performance, so the researchers are concentrating the Soft Computing domain for solving problems. Soft Computing domain categorizes into many sub-domains, like Neural Networks, Machine Learning, and Genetic Algorithm. Through this paper, we considered to study the impact produced by the Institutions as well as authors in the domain of Soft Computing from the year 1999 to 2019 for PubMed database. From the overall study, we found that China has made more number of publications, author productivity, and influential authors. Some countries, like Russia, Saudi Arabia, and Turkey, with minimum author productivity and minimum publications from the Asian continent in the Soft Computing-related domains. From the research, we determined that china dominates in terms of Institutions wise and Author productivity in the field of Soft Computing domain. [ABSTRACT FROM AUTHOR]

The article is devoted to the problem of underutilization of the country's labor potential in the face of women with young children. The relevance of research in the field of support for families with young children and the development of additional measures to support them is further explained. The authors propose to use a mathematical model based on soft computing for predictive estimation of the number of women with children from 0 to 3 years old, who are ready to go to work, taking into account the age of the child. The calculation of numerical indicators is based on the prediction of the Federal Statistics Service of the Russian Federation for the estimated population of the Russian Federation in the context of ages up to 2035. [ABSTRACT FROM AUTHOR]