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Hybrid genetic algorithm to federal government capital budgetting

Year 2017, Volume: 2 Issue: 1, 16 - 22, 01.03.2017

Abstract

Multidimensional Knapsack problem is a NP-hard problem. The problem has been studied extensively in the literature.
In this paper we provides a solution to a capital budgeting problem of Federal Government Budget in Nigeria using Hybrid Genetic
Algorithms proposed by [32].We use also used the approach of [33] to model federal government budget by dividing the capital project
into four groups which includes : The Economic sector (x1) , The Social Service sector (x2), The Environmental/Regional Development
sector (x3), and The Administration sector (x4). Using MATLAB software for the analysis, it was observed that the optimal solution was
optimal solution value is 277.64 billion naira. The result shows that the first and the second sector will be selected (x1, x2 = 1;x3, x4 = 0).

Year 2017, Volume: 2 Issue: 1, 16 - 22, 01.03.2017

Abstract

There are 0 citations in total.

Details

Other ID JA69ZS28JA
Journal Section Research Article
Authors

D. Hakimi This is me

D. O. Oyewola This is me

K.r. Adeboye This is me

R.o. Olayiwola This is me

Publication Date March 1, 2017
Published in Issue Year 2017 Volume: 2 Issue: 1

Cite

APA Hakimi, D., Oyewola, D. O., Adeboye, K., Olayiwola, R. (2017). Hybrid genetic algorithm to federal government capital budgetting. Communication in Mathematical Modeling and Applications, 2(1), 16-22.
AMA Hakimi D, Oyewola DO, Adeboye K, Olayiwola R. Hybrid genetic algorithm to federal government capital budgetting. CMMA. March 2017;2(1):16-22.
Chicago Hakimi, D., D. O. Oyewola, K.r. Adeboye, and R.o. Olayiwola. “Hybrid Genetic Algorithm to Federal Government Capital Budgetting”. Communication in Mathematical Modeling and Applications 2, no. 1 (March 2017): 16-22.
EndNote Hakimi D, Oyewola DO, Adeboye K, Olayiwola R (March 1, 2017) Hybrid genetic algorithm to federal government capital budgetting. Communication in Mathematical Modeling and Applications 2 1 16–22.
IEEE D. Hakimi, D. O. Oyewola, K. Adeboye, and R. Olayiwola, “Hybrid genetic algorithm to federal government capital budgetting”, CMMA, vol. 2, no. 1, pp. 16–22, 2017.
ISNAD Hakimi, D. et al. “Hybrid Genetic Algorithm to Federal Government Capital Budgetting”. Communication in Mathematical Modeling and Applications 2/1 (March 2017), 16-22.
JAMA Hakimi D, Oyewola DO, Adeboye K, Olayiwola R. Hybrid genetic algorithm to federal government capital budgetting. CMMA. 2017;2:16–22.
MLA Hakimi, D. et al. “Hybrid Genetic Algorithm to Federal Government Capital Budgetting”. Communication in Mathematical Modeling and Applications, vol. 2, no. 1, 2017, pp. 16-22.
Vancouver Hakimi D, Oyewola DO, Adeboye K, Olayiwola R. Hybrid genetic algorithm to federal government capital budgetting. CMMA. 2017;2(1):16-22.