Authors: Sudip Kumar Sahana, Moumita Khowas, Keshav Sinha

Budget Optimization and Allocation: An Evolutionary Computing Based Model

eBook: US $39 Special Offer (PDF + Printed Copy): US $125
Printed Copy: US $105
Library License: US $156
ISBN: 978-1-68108-708-5 (Print)
ISBN: 978-1-68108-707-8 (Online)
Year of Publication: 2018
DOI: 10.2174/97816810870781180101

Introduction

Budget Optimization and Allocation: An Evolutionary Computing Based Model is a guide for computer programmers for writing algorithms for efficient and effective budgeting. It provides a balance of theory and practice. Chapters explain evolutionary computational techniques (genetic algorithms) and compare these techniques with traditional approaches to budget allocation.

A case study on the complex and broad problem of union budgeting of 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.

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.

Foreword

- Pp. i
Pushpak Bhattacharyya
Download Free

Preface

- Pp. ii
Sudip Kumar Sahana
Download Free

Dedication

- Pp. iii
Sudip Kumar Sahana
Download Free

Summary

- Pp. iv
Sudip Kumar Sahana
Download Free

Introduction

- Pp. 1-9 (9)
Keshav Sinha, Moumita Khowas, Sudip Kumar Sahana
View Abstract

Literature Review

- Pp. 10-25 (16)
Keshav Sinha, Moumita Khowas, Sudip Kumar Sahana

PDF Price: $15

View Abstract Purchase Chapter

Research Methodology

- Pp. 26-53 (28)
Keshav Sinha, Moumita Khowas, Sudip Kumar Sahana

PDF Price: $15

View Abstract Purchase Chapter

Result and Discussion

- Pp. 54-89 (36)
Keshav Sinha, Moumita Khowas, Sudip Kumar Sahana

PDF Price: $15

View Abstract Purchase Chapter

Appendix A: Allocation Ocba

- Pp. 90-118 (29)
Sudip Kumar Sahana

PDF Price: $15

Purchase Chapter

Appendix B: Simulation Of Mean And Standard Deviation

- Pp. 119-132 (14)
Sudip Kumar Sahana

PDF Price: $15

Purchase Chapter

Appendix C: Budget Allocation Using Genetic Algorithm Approach Fitness Calculation

- Pp. 133-144 (12)
Sudip Kumar Sahana

PDF Price: $15

Purchase Chapter

List Of Abbreviations

- Pp. 145
Sudip Kumar Sahana
Download Free

Subject Index

- Pp. 146-151 (6)
Sudip Kumar Sahana
Download Free

RELATED BOOKS

.Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms.
.Arduino and SCILAB based Projects.
.Arduino meets MATLAB: Interfacing, Programs and Simulink.