What is it about?
A case study on the complex and broad problem of union budgeting in India is presented. The macro and micro-economic issues specific to the case discussed, with the growth rate being the final aim of the budget exercise. The authors also present a comparison of the budget allocation practices of different countries, consistent with other factors such as their local economy, culture, population, etc. The use of evolutionary computation to tackle incremental budgeting is also presented. Readers will be able to understand the synergies of modern computational techniques with tried and tested budgeting models.
Featured Image
Photo by National Cancer Institute on Unsplash
Why is it important?
In this book, the implementation of evolutionary computational techniques (genetic algorithms) for budget allocation is shown and compares these techniques with traditional approaches too. A case study on the complex and broad problem of union budgeting in India is presented. The macro and microeconomic issues specific to the case discussed, with the growth rate being the final aim of the budget exercise. The authors also present a comparison of the budget allocation practices of different countries, consistent with other factors such as their local economy, culture, population, etc. The use of evolutionary computation to tackle incremental budgeting is also presented. Readers will be able to understand the synergies of modern computational techniques with tried and tested budgeting models. Budget Optimization and Allocation: An Evolutionary Computing Based Model is a useful reference for graduate students, business enterprise programmers, and evolutionary computing/AI researchers who seek to understand new methods of budgeting.
Perspectives
Read the Original
This page is a summary of: Budget Optimization and Allocation: An Evolutionary Computing Based Model, July 2018, Bentham Science Publishers,
DOI: 10.2174/97816810870781180101.
You can read the full text:
Contributors
The following have contributed to this page