A Quantum-inspired Artificial Bee Colony algorithm for numerical optimisation

Proceedings of the 2013 11th International Symposium on Programming and Systems, ISPS 2013

Volumn , Issue , 2013, Pages 81-88

  Bouaziz, Amira ^a   Draa, Amer ^a   Chikhi, Salim ^a  

^a Universite Mentouri Constantine   (Algeria)

Author keywords

Artificial Bee Colony; Numerical Optimisation; Quantum Artificial Bee Colony; Quantum Computing

Indexed keywords

ARTIFICIAL BEE COLONIES; ARTIFICIAL BEE COLONIES (ABC); ARTIFICIAL BEE COLONY ALGORITHMS; EVOLUTIONARY APPROACH; OPTIMISATIONS; QUANTUM COMPUTING; QUANTUM INTERFERENCE; QUANTUM-INSPIRED PARTICLE SWARM ALGORITHMS;

EVOLUTIONARY ALGORITHMS; OPTIMIZATION; QUANTUM COMPUTERS;

QUANTUM THEORY;

EID: 84883752652     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISPS.2013.6581498     Document Type: Conference Paper

References (21)

1. D. Karaboga and B. Basturk, "A powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm, " Journal of Global Optimization, 39 (3), 2007, pp. 459-171
2. G. Zhu and S. Kwong, "Gbest-Guided Artificial Bee Colony algorithm for Numerical Function Optimization, " Applied Mathematics and Computation 217 (7), 2010, pp. 3166-3173
3. F. Kang et al., "Rosenbrock Artificial Bee Colony Algorithm for Accurate Global Optimization of Numerical Functions, " Inform. Sci. 2011, pp. 3508-3531
4. S. Sundar and A. Singh. "An Artificial Bee Colony Algorithm for the 0-1 Multidimensional Knapsack Problem, " in: Proceedings of the Third International Conference on Contemporary Computing, 2010, CCIS 94, pp. 141-151
5. R. Srinivasa Rao, S. V. L. Narasimham, and M. Ramalingaraju, "Optimization of Distribution Network Configuration for Loss Reduction Using Artificial Bee Colony Algorithm, " International Journal of Electrical Power and Energy Systems Engineering (IJEPESE) 1 (2), 2008, pp. 116-122
6. D. Karaboga and C. Ozturk. "Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, " Neural Network World 19 (3), 2009, pp. 279-292
7. N. Karaboga, "A New Design Method based on Artificial bee Colony Algorithm for Digital IIR Filters, " Journal of the Franklin Institute 346 (4), 2009, pp. 328-348
8. A. Singh, "An Artificial Bee Colony Algorithm for the Leaf-constrained Minimum Spanning Tree Problem, " Applied Soft Computing 9 (2), 2009, pp. 625-631
9. D. Karaboga and B. Gorkemli, "A Combinatorial Artificial Bee Colony Algorithm for Traveling Salesman Problem, " in: Proceedings of the International Symposium on Innovations in Intelligent Systems and Applications, 2011, pp. 50-53
10. A. Tapp, Informatique Quantique : Algorithmes et Complexité de la Communication, Ph. D., Université de Montréal, 1999
11. M. Le Bellac, Le monde quantique. Technical report, ESSI, 2010
12. P. Shor, "Algorithms for Quantum Computation: Discrete Logarithms and Factoring, " in: Proceedings of the 35th Annual Symposium on Foundations of Computer Science, 1994, pp. 124-134
13. L. Grover, "Quantum Mechanics Helps in Searching for Needle in a Haystack Phys, " Rev. Lett. 79, 1997, pp. 325-328
14. D. Deutsch and A. Ekert, "Quantum Computation. " Physics World, 11 (3), 2006, pp. 47-52
15. E. Rieffel and W. Polak, An Introduction to Quantum Computing for Non-physicists, arxive. org, quant-ph/9809016 v2, 2000
16. A. Draa, S. Mashoul, H. Talbi, and M. Batouche, "A Quantum-Inspired Differential Evolution Algorithm for Solving the N-Queens Problem, " Int. Arab J. Inf. Technol., 7 (1), 2010, pp. 21-27
17. M. Le Bellac, Introduction a l'information quantique, Lecture Notes, Ecole Supérieure de Sciences Informatiques (ESSI), 2003
18. N. Nedjah, L., Coelho, L., Mourelle, Quantum Inspired Intelligent Systems. Studies in Computational Intelligence. Springer Verlag, 2008
19. A. Narayanan, M. Moore, "Quantum-Inspired Genetic Algorithms, " in: Proceedings of the 1996 IEE International Conference on Evolutionary Computation, 1996, pp. 41-46
20. K. H. Han, J. H. Kim, "Genetic Quantum Algorithm and Its Application to Combinatorial Optimization Problem, " in: Proceedings of the 2000 IEEE Congress on Evolutionary Computation, 2000, pp. 1354-1360
21. Y. R. Huang, C. L. Tang, and S. Wang, "Quantum-Inspired Swarm Evolution Algorithm, " Journal of Communication and Computer 5 (5), 2008, pp. 208-211.