Hybrid genetic algorithm to federal government capital budgetting

Cilt: 2 Sayı: 1 1 Mart 2017
  • D. Hakimi
  • D. O. Oyewola
  • K.r. Adeboye
  • R.o. Olayiwola
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Hybrid genetic algorithm to federal government capital budgetting

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).

Keywords

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yazarlar

D. O. Oyewola Bu kişi benim

K.r. Adeboye Bu kişi benim

R.o. Olayiwola Bu kişi benim

Yayımlanma Tarihi

1 Mart 2017

Gönderilme Tarihi

1 Mart 2017

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2017 Cilt: 2 Sayı: 1

Kaynak Göster

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. https://izlik.org/JA32PS88GZ
AMA
1.Hakimi D, Oyewola DO, Adeboye K, Olayiwola R. Hybrid genetic algorithm to federal government capital budgetting. CMMA. 2017;2(1):16-22. https://izlik.org/JA32PS88GZ
Chicago
Hakimi, D., D. O. Oyewola, K.r. Adeboye, ve R.o. Olayiwola. 2017. “Hybrid genetic algorithm to federal government capital budgetting”. Communication in Mathematical Modeling and Applications 2 (1): 16-22. https://izlik.org/JA32PS88GZ.
EndNote
Hakimi D, Oyewola DO, Adeboye K, Olayiwola R (01 Mart 2017) Hybrid genetic algorithm to federal government capital budgetting. Communication in Mathematical Modeling and Applications 2 1 16–22.
IEEE
[1]D. Hakimi, D. O. Oyewola, K. Adeboye, ve R. Olayiwola, “Hybrid genetic algorithm to federal government capital budgetting”, CMMA, c. 2, sy 1, ss. 16–22, Mar. 2017, [çevrimiçi]. Erişim adresi: https://izlik.org/JA32PS88GZ
ISNAD
Hakimi, D. - Oyewola, D. O. - Adeboye, K.r. - Olayiwola, R.o. “Hybrid genetic algorithm to federal government capital budgetting”. Communication in Mathematical Modeling and Applications 2/1 (01 Mart 2017): 16-22. https://izlik.org/JA32PS88GZ.
JAMA
1.Hakimi D, Oyewola DO, Adeboye K, Olayiwola R. Hybrid genetic algorithm to federal government capital budgetting. CMMA. 2017;2:16–22.
MLA
Hakimi, D., vd. “Hybrid genetic algorithm to federal government capital budgetting”. Communication in Mathematical Modeling and Applications, c. 2, sy 1, Mart 2017, ss. 16-22, https://izlik.org/JA32PS88GZ.
Vancouver
1.D. Hakimi, D. O. Oyewola, K.r. Adeboye, R.o. Olayiwola. Hybrid genetic algorithm to federal government capital budgetting. CMMA [Internet]. 01 Mart 2017;2(1):16-22. Erişim adresi: https://izlik.org/JA32PS88GZ