Araştırma Makalesi

Performance of population size on Knapsack problem

Cilt: 4 Sayı: 4 31 Aralık 2016
  • David Oyewola *
  • Danladi Hakimi
  • Amuda Yusuph Yahaya
  • Gbolahan Bolarin
PDF İndir
EN

Performance of population size on Knapsack problem

Öz

In order to obtain meaningful information about the performance of the population size, a considerable number of independent runs of the GA are performed. Accurate model parameters values are obtained in reasonable computational time. Further increase of the population size, does not improve the solution accuracy. Moreover, the computational time is increased significantly.

Anahtar Kelimeler

Kaynakça

  1. C. R. Reeves, Using Genetic Algorithms With Small Populations,In Proceedings of the Fifth International Conference on Genetic Algorithms, (1993), pp. 92-99.
  2. O. Roeva and Ts. Slavov, Fed-batch Cultivation Control based on Genetic Algorithm PID Controller Tuning, Lecture Notes on Computer Science, Springer-Verlag Berlin Heidelberg, Vol. 6046, (2011), pp. 289-296.
  3. V. K. Koumousis and C. P. Katsaras, A sawtooth genetic algorithm combining the effects of variable population size and reinitialization to enhance performance, IEEE Transactions on Evolutionary Computation,Vol. 10, No. 1, (2006), pp. 19–28.
  4. M. Pelikan, D. E. Goldberg, and E. Cantu-Paz, Bayesian optimization algorithm, population sizing, and time to convergence, Illinois Genetic Algorithms Laboratory, University of Illinois, Tech. Rep., (2000).
  5. A. Piszcz and T. Soule, Genetic programming: Optimal population sizes for varying complexity problems, In Proceedings of the Genetic and Evolutionary Computation Conference, (2006), pp. 953–954
  6. F. G. Lobo and D. E. Goldberg, The parameterless genetic algorithm in practice, Information Sciences Informatics and Computer Science, Vol. 167, No. 1-4, (2004), pp. 217–232.
  7. F. G. Lobo and C. F. Lima, A review of adaptive population sizing schemes in genetic algorithms, In Proceedings of the Genetic and Evolutionary, Computation Conference, (2005), pp. 228–234.
  8. S.Akpinar and G.M. Bayhan, A Hybrid Genetic Algorithm for mixed model assembly line balancing problem with parallel workstations and zoning constraints, Engineering Applications of Artificial intellligence. Vol. 24, No 3 (2011), pp. 449-457

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yazarlar

Danladi Hakimi Bu kişi benim
Niger

Amuda Yusuph Yahaya Bu kişi benim
Niger

Gbolahan Bolarin Bu kişi benim
Niger

Yayımlanma Tarihi

31 Aralık 2016

Gönderilme Tarihi

22 Haziran 2016

Kabul Tarihi

7 Ekim 2016

Yayımlandığı Sayı

Yıl 2016 Cilt: 4 Sayı: 4

Kaynak Göster

APA
Oyewola, D., Hakimi, D., Yahaya, A. Y., & Bolarin, G. (2016). Performance of population size on Knapsack problem. New Trends in Mathematical Sciences, 4(4), 253-258. https://izlik.org/JA43MW65JM
AMA
1.Oyewola D, Hakimi D, Yahaya AY, Bolarin G. Performance of population size on Knapsack problem. New Trends in Mathematical Sciences. 2016;4(4):253-258. https://izlik.org/JA43MW65JM
Chicago
Oyewola, David, Danladi Hakimi, Amuda Yusuph Yahaya, ve Gbolahan Bolarin. 2016. “Performance of population size on Knapsack problem”. New Trends in Mathematical Sciences 4 (4): 253-58. https://izlik.org/JA43MW65JM.
EndNote
Oyewola D, Hakimi D, Yahaya AY, Bolarin G (01 Aralık 2016) Performance of population size on Knapsack problem. New Trends in Mathematical Sciences 4 4 253–258.
IEEE
[1]D. Oyewola, D. Hakimi, A. Y. Yahaya, ve G. Bolarin, “Performance of population size on Knapsack problem”, New Trends in Mathematical Sciences, c. 4, sy 4, ss. 253–258, Ara. 2016, [çevrimiçi]. Erişim adresi: https://izlik.org/JA43MW65JM
ISNAD
Oyewola, David - Hakimi, Danladi - Yahaya, Amuda Yusuph - Bolarin, Gbolahan. “Performance of population size on Knapsack problem”. New Trends in Mathematical Sciences 4/4 (01 Aralık 2016): 253-258. https://izlik.org/JA43MW65JM.
JAMA
1.Oyewola D, Hakimi D, Yahaya AY, Bolarin G. Performance of population size on Knapsack problem. New Trends in Mathematical Sciences. 2016;4:253–258.
MLA
Oyewola, David, vd. “Performance of population size on Knapsack problem”. New Trends in Mathematical Sciences, c. 4, sy 4, Aralık 2016, ss. 253-8, https://izlik.org/JA43MW65JM.
Vancouver
1.David Oyewola, Danladi Hakimi, Amuda Yusuph Yahaya, Gbolahan Bolarin. Performance of population size on Knapsack problem. New Trends in Mathematical Sciences [Internet]. 01 Aralık 2016;4(4):253-8. Erişim adresi: https://izlik.org/JA43MW65JM