Optimization of Poultry Feed Composition Using Hybrid Adaptive Genetic Algorithm and Simulated Annealing
N. A. Hasan, I. El-Khodary, and M. Y. Dahab, “Developing a Generic Decision Support System for Poultry Feeding,” Int. J. Adv. Eng. Sci., vol. 5, no. 3, pp. 1–6, 2015.
USAID, “Indonesia’s Poultry Value Chain: Costs, Margins, Prices, and Other Issues,” 2013.
M. A. Şahman, M. Çunkaş, Ş. Inal, F. Inal, B. Coşkun, and U. Taşkiran, “Cost Optimization of Feed Mixes by Genetic Algorithms,” Adv. Eng. Softw., vol. 40, no. 10, pp. 965–974, 2009.
S. Chakeredza, F. K. Akinnifesi, O. C. Ajayi, G. Sileshi, S. Mngomba, and F. M. T. Gondwe, “A Simple Method of Formulating Least-Cost Diets for Smallholder Dairy Production in Sub-Saharan Africa,” African J. Biotechnol., vol. 7, no. 16, pp. 2925–2933, 2008.
B. Al-Deseit, “Least-Cost Broiler Ration Formulation Using Linear Programming Technique,” J. Anim. Vet. Adv., vol. 8, no. 7, pp. 1274– 1278, 2009.
S. G. Heydari, “Effect of Linear and Random Non-Linear Programming Feed Formulating on Performance of Broilers,” J. Nov. Appl. Sci., vol. 3, no. 12, pp. 1426–1429, 2014.
A. A. Altun and M. A. Şahman, “Cost Optimization of Mixed Feeds with the Particle Swarm Optimization Method,” Neural Comput. Appl., vol. 22, no. 2, pp. 383–390, 2013.
J. Sharma and R. S. Singhal, “Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems-A Review,” Int. J. Comput. Appl., vol. 95, no. 4, pp. 33–37, 2014.
T. Geetha, B. Sowmiya, L. Jayakumar, and A. S. Sukumar, “An Efficient Survey on Multi Colony-Particle Swarm Optimization (MCPSO) Algorithm,” Int. J. Emerg. Technol. Adv. Eng., vol. 3, no. 4, pp. 672–677, 2013.
W. F. Mahmudy, R. M. Marian, and L. H. S. Luong, “Real Coded Genetic Algorithms for Solving Flexible Job-Shop Scheduling Problem - Part II: Optimization,” Adv. Mater. Res., vol. 701, pp. 364– 369, 2013.
C. Faycal, M. E. Riffi, and B. Ahiod, “Hybrid Genetic Algorithm and Greedy Randomized Adaptive Search Procedure for Solving a Nurse Scheduling Problem,” J. Theor. Appl. Inf. Technol., vol. 73, no. 2, pp. 313–320, 2015.
V. N. Wijayaningrum and F. Utaminingrum, “Numerical Methods for Initialization in Fodder Composition Optimization,” in IEEE International Conference on Advanced Computer Science and Information Systems, 2016.
V. N. Wijayaningrum and W. F. Mahmudy, “Fodder Composition Optimization using Modified Genetic Algorithm,” Int. J. Intell. Eng. Syst.
F. Herrera and M. Lozano, “Fuzzy Adaptive Genetic Algorithms: Design, Taxonomy, and Future Directions,” Soft Comput., vol. 7, no. 8, pp. 545–562, 2003.
N.R.C., Nutrient Requeriments of Poultry, Ninth Revi. Washington D.C.: National Academy Press, 1994.
A. E. Eiben, R. Hinterding, and Z. Michalewicz, “Parameter Control in Evolutionary Algorithms,” IEEE Trans. Evol. Comput., vol. 3, no. 2, pp. 124–141, 1999.
K. L. Mak, Y. S. Wong, and X. X. Wang, “An Adaptive Genetic Algorithm for Manufacturing Cell Formation,” Int. J. Adv. Manuf. Technol., vol. 16, no. 7, pp. 491–497, 2000.
W. F. Mahmudy, R. M. Marian, and L. H. S. Luong, “Real Coded Genetic Algorithms for Solving Flexible Job-Shop Scheduling Problem - Part I: Modelling,” Adv. Mater. Res., vol. 701, pp. 359–363, 2013.
S. N. Sivanandam and S. N. Deepa, Introduction to Genetic Algorithms. New York, USA: Springer, 2008.
R. L. Haupt and S. E. Haupt, Practical Genetic Algorithms. New York, USA: John Willey & Sons, Inc., 2004.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.