Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2016, Cilt: 4 Sayı: Special Issue-1, 185 - 189, 26.12.2016

Öz

Kaynakça

  • [1] M. S. Kiran and M. Gunduz, "XOR-based artificial bee colony algorithm for binary optimization," Turkish Journal of Electrical Engineering and Computer Sciences, vol. 21, pp. 2307-2328, 2013.
  • [2] B. Alatas, "Uniform Big Bang-Chaotic Big Crunch optimization," Communications in Nonlinear Science and Numerical Simulation, vol. 16, pp. 3696-3703, Sep 2011.
  • [3] V. Korac, J. Kratica, and A. Savic, "An Improved Genetic Algorithm for the Multi Level Uncapacitated Facility Location Problem," International Journal of Computers Communications & Control, vol. 8, pp. 845-853, Dec 2013.
  • [4] H. Tohyama, K. Ida, and J. Matsueda, "A Genetic Algorithm for the Uncapacitated Facility Location Problem," Electronics and Communications in Japan, vol. 94, pp. 47-54, May 2011.
  • [5] M. Maric, "An Efficient Genetic Algorithm for Solving the Multi-Level Uncapacitated Facility Location Problem," Computing and Informatics, vol. 29, pp. 183-201, 2010.
  • [6] H. Topcuoglu, F. Corut, M. Ermis, and G. Yimaz, "Solving the uncapacitated hub location problem using genetic algorithms," Computers & Operations Research, vol. 32, pp. 967-984, Apr 2005.
  • [7] K. S. Al-Sultan and M. A. Al-Fawzan, "A tabu search approach to the uncapacitated facility location problem," Annals of Operations Research, vol. 86, pp. 91-103, 1999.
  • [8] M. H. Sun, "Solving the uncapacitated facility location problem using tabu search," Computers & Operations Research, vol. 33, pp. 2563-2589, Sep 2006.
  • [9] F. Altiparmak and E. Caliskan, "An Ant Colony Optimization Algorithm for the Uncapacitated Facility Location Problem," Proceedings of the 38th International Conference on Computers and Industrial Engineering, Vols 1-3, pp. 553-560, 2008.
  • [10] M. Sevkli and A. R. Guner, "A continuous particle swarm optimization algorithm for uncapacitated facility location problem," Ant Colony Optimization and Swarm Intelligence, Proceedings, vol. 4150, pp. 316-323, 2006.
  • [11] D. Z. Wang, C. H. Wu, A. Ip, D. W. Wang, and Y. Yan, "Parallel Multi-Population Particle Swarm Optimization Algorithm for the Uncapacitated Facility Location Problem using OpenMP," 2008 Ieee Congress on Evolutionary Computation, Vols 1-8, pp. 1214-1218, 2008.
  • [12] S. Saha, A. Kole, and K. Dey, "A Modified Continuous Particle Swarm Optimization Algorithm for Uncapacitated Facility Location Problem," Information Technology and Mobile Communication, vol. 147, pp. 305-311, 2011.
  • [13] Y. Watanabe, M. Takaya, and A. Yamamura, "Fitness Function in ABC Algorithm for Uncapacitated Facility Location Problem," Information and Communication Technology, vol. 9357, pp. 129-138, 2015.
  • [14] M. S. Kiran, "The continuous artificial bee colony algorithm for binary optimization," Applied Soft Computing, vol. 33, pp. 15-23, Aug 2015.
  • [15] M. H. Kashan, N. Nahavandi, and A. H. Kashan, "DisABC: A new artificial bee colony algorithm for binary optimization," Applied Soft Computing, vol. 12, pp. 342-352, Jan 2012.
  • [16] A. Kaveh and S. Talatahari, "Size optimization of space trusses using Big Bang-Big Crunch algorithm," Computers & Structures, vol. 87, pp. 1129-1140, Sep 2009.
  • [17] O. K. Erol and I. Eksin, "A new optimization method: Big Bang Big Crunch," Advances in Engineering Software, vol. 37, pp. 106-111, Feb 2006.
  • [18] A. Kaveh and S. Talatahari, "Optimal design of Schwedler and ribbed domes via hybrid Big Bang-Big Crunch algorithm," Journal of Constructional Steel Research, vol. 66, pp. 412-419, Mar 2010.
  • [19] C. V. Camp, "Design of space trusses using big bang-big crunch optimization," Journal of Structural Engineering-Asce, vol. 133, pp. 999-1008, Jul 2007.
  • [20] M. S. Daskin, L. V. Snyder, and R. T. Berger, "Facility location in supply chain design," Lehigh University, Working, pp. 03-010, 2003.
  • [21] G. Cornuejols, G. L. Nemhauser, and L. A. Wolsey, "The uncapacitated facility location problem," Lecture Notes in Artificial Intelligence, vol. 1865, pp. 171, 1990, 1990.
  • [22] K. Holmberg, "Exact solution methods for uncapacitated location problems with convex transportation costs," European Journal of Operational Research, vol. 114, pp. 127-140, Apr 1 1999.
  • [23] J. Barcelo, A. Hallefjord, E. Fernandez, and K. Jornsten, "Lagrangean Relaxation and Constraint Generation Procedures for Capacitated Plant Location-Problems with Single Sourcing," Or Spektrum, vol. 12, pp. 79-88, 1990.
  • [24] L. L. Gao and E. P. Robinson, "A Dual-Based Optimization Procedure for the 2-Echelon Uncapacitated Facility Location Problem," Naval Research Logistics, vol. 39, pp. 191-212, Mar 1992.
  • [25] J. E. Beasley, "Or-Library - Distributing Test Problems by Electronic Mail," Journal of the Operational Research Society, vol. 41, pp. 1069-1072, Nov 1990.

Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem

Yıl 2016, Cilt: 4 Sayı: Special Issue-1, 185 - 189, 26.12.2016

Öz

The
big bang–big crunch (BB–BC) algorithm has been proposed as a new optimization
method based on the big bang and big crunch theory, one of the theories of the
evolution of the universe. The BB-BC algorithm has been firstly presented to
solve the optimization problems with continuous solutions space. If the
solution space of the problem is binary-structural, the algorithm must be
modified to solve this kind of the problems. Therefore, in this study, the
BB-BC method, one of the population-based optimization algorithms, is modified
to deal with binary optimization problems. The performance of the proposed
methods is analyzed on uncapacitated facility location problems (UFLPs) which
are one of the binary problems used in literature. The well-known small and medium
twelve instances of UFLPs are used to analyze the performances and the effects
of the control parameter of the BB-BC algorithm. The obtained results are
comparatively presented. According to the experimental results, the binary
version of the BB-BC method achieves successful results in solving UFLP in
terms of solution quality.

Kaynakça

  • [1] M. S. Kiran and M. Gunduz, "XOR-based artificial bee colony algorithm for binary optimization," Turkish Journal of Electrical Engineering and Computer Sciences, vol. 21, pp. 2307-2328, 2013.
  • [2] B. Alatas, "Uniform Big Bang-Chaotic Big Crunch optimization," Communications in Nonlinear Science and Numerical Simulation, vol. 16, pp. 3696-3703, Sep 2011.
  • [3] V. Korac, J. Kratica, and A. Savic, "An Improved Genetic Algorithm for the Multi Level Uncapacitated Facility Location Problem," International Journal of Computers Communications & Control, vol. 8, pp. 845-853, Dec 2013.
  • [4] H. Tohyama, K. Ida, and J. Matsueda, "A Genetic Algorithm for the Uncapacitated Facility Location Problem," Electronics and Communications in Japan, vol. 94, pp. 47-54, May 2011.
  • [5] M. Maric, "An Efficient Genetic Algorithm for Solving the Multi-Level Uncapacitated Facility Location Problem," Computing and Informatics, vol. 29, pp. 183-201, 2010.
  • [6] H. Topcuoglu, F. Corut, M. Ermis, and G. Yimaz, "Solving the uncapacitated hub location problem using genetic algorithms," Computers & Operations Research, vol. 32, pp. 967-984, Apr 2005.
  • [7] K. S. Al-Sultan and M. A. Al-Fawzan, "A tabu search approach to the uncapacitated facility location problem," Annals of Operations Research, vol. 86, pp. 91-103, 1999.
  • [8] M. H. Sun, "Solving the uncapacitated facility location problem using tabu search," Computers & Operations Research, vol. 33, pp. 2563-2589, Sep 2006.
  • [9] F. Altiparmak and E. Caliskan, "An Ant Colony Optimization Algorithm for the Uncapacitated Facility Location Problem," Proceedings of the 38th International Conference on Computers and Industrial Engineering, Vols 1-3, pp. 553-560, 2008.
  • [10] M. Sevkli and A. R. Guner, "A continuous particle swarm optimization algorithm for uncapacitated facility location problem," Ant Colony Optimization and Swarm Intelligence, Proceedings, vol. 4150, pp. 316-323, 2006.
  • [11] D. Z. Wang, C. H. Wu, A. Ip, D. W. Wang, and Y. Yan, "Parallel Multi-Population Particle Swarm Optimization Algorithm for the Uncapacitated Facility Location Problem using OpenMP," 2008 Ieee Congress on Evolutionary Computation, Vols 1-8, pp. 1214-1218, 2008.
  • [12] S. Saha, A. Kole, and K. Dey, "A Modified Continuous Particle Swarm Optimization Algorithm for Uncapacitated Facility Location Problem," Information Technology and Mobile Communication, vol. 147, pp. 305-311, 2011.
  • [13] Y. Watanabe, M. Takaya, and A. Yamamura, "Fitness Function in ABC Algorithm for Uncapacitated Facility Location Problem," Information and Communication Technology, vol. 9357, pp. 129-138, 2015.
  • [14] M. S. Kiran, "The continuous artificial bee colony algorithm for binary optimization," Applied Soft Computing, vol. 33, pp. 15-23, Aug 2015.
  • [15] M. H. Kashan, N. Nahavandi, and A. H. Kashan, "DisABC: A new artificial bee colony algorithm for binary optimization," Applied Soft Computing, vol. 12, pp. 342-352, Jan 2012.
  • [16] A. Kaveh and S. Talatahari, "Size optimization of space trusses using Big Bang-Big Crunch algorithm," Computers & Structures, vol. 87, pp. 1129-1140, Sep 2009.
  • [17] O. K. Erol and I. Eksin, "A new optimization method: Big Bang Big Crunch," Advances in Engineering Software, vol. 37, pp. 106-111, Feb 2006.
  • [18] A. Kaveh and S. Talatahari, "Optimal design of Schwedler and ribbed domes via hybrid Big Bang-Big Crunch algorithm," Journal of Constructional Steel Research, vol. 66, pp. 412-419, Mar 2010.
  • [19] C. V. Camp, "Design of space trusses using big bang-big crunch optimization," Journal of Structural Engineering-Asce, vol. 133, pp. 999-1008, Jul 2007.
  • [20] M. S. Daskin, L. V. Snyder, and R. T. Berger, "Facility location in supply chain design," Lehigh University, Working, pp. 03-010, 2003.
  • [21] G. Cornuejols, G. L. Nemhauser, and L. A. Wolsey, "The uncapacitated facility location problem," Lecture Notes in Artificial Intelligence, vol. 1865, pp. 171, 1990, 1990.
  • [22] K. Holmberg, "Exact solution methods for uncapacitated location problems with convex transportation costs," European Journal of Operational Research, vol. 114, pp. 127-140, Apr 1 1999.
  • [23] J. Barcelo, A. Hallefjord, E. Fernandez, and K. Jornsten, "Lagrangean Relaxation and Constraint Generation Procedures for Capacitated Plant Location-Problems with Single Sourcing," Or Spektrum, vol. 12, pp. 79-88, 1990.
  • [24] L. L. Gao and E. P. Robinson, "A Dual-Based Optimization Procedure for the 2-Echelon Uncapacitated Facility Location Problem," Naval Research Logistics, vol. 39, pp. 191-212, Mar 1992.
  • [25] J. E. Beasley, "Or-Library - Distributing Test Problems by Electronic Mail," Journal of the Operational Research Society, vol. 41, pp. 1069-1072, Nov 1990.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Research Article
Yazarlar

Ismail Koc

Yayımlanma Tarihi 26 Aralık 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 4 Sayı: Special Issue-1

Kaynak Göster

APA Koc, I. (2016). Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem. International Journal of Intelligent Systems and Applications in Engineering, 4(Special Issue-1), 185-189. https://doi.org/10.18201/ijisae.270684
AMA Koc I. Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem. International Journal of Intelligent Systems and Applications in Engineering. Aralık 2016;4(Special Issue-1):185-189. doi:10.18201/ijisae.270684
Chicago Koc, Ismail. “Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem”. International Journal of Intelligent Systems and Applications in Engineering 4, sy. Special Issue-1 (Aralık 2016): 185-89. https://doi.org/10.18201/ijisae.270684.
EndNote Koc I (01 Aralık 2016) Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem. International Journal of Intelligent Systems and Applications in Engineering 4 Special Issue-1 185–189.
IEEE I. Koc, “Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem”, International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, ss. 185–189, 2016, doi: 10.18201/ijisae.270684.
ISNAD Koc, Ismail. “Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem”. International Journal of Intelligent Systems and Applications in Engineering 4/Special Issue-1 (Aralık 2016), 185-189. https://doi.org/10.18201/ijisae.270684.
JAMA Koc I. Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem. International Journal of Intelligent Systems and Applications in Engineering. 2016;4:185–189.
MLA Koc, Ismail. “Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem”. International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy. Special Issue-1, 2016, ss. 185-9, doi:10.18201/ijisae.270684.
Vancouver Koc I. Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem. International Journal of Intelligent Systems and Applications in Engineering. 2016;4(Special Issue-1):185-9.