Solving integer programming problems by using artificial Bee colony algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5883 LNAI, Issue , 2009, Pages 355-364

  Akay, Bahriye ^a   Karaboga, Dervis ^a  

^a ERCIYES UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL BEE COLONIES; BRANCH AND BOUNDS; INTEGER PROGRAMMING PROBLEMS; INTEGER VALUES; PARTICLE SWARM OPTIMIZATION ALGORITHM; PRODUCTION UNITS; STANDARD DEVIATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; LINEAR PROGRAMMING; PARTICLE SWARM OPTIMIZATION (PSO);

INTEGER PROGRAMMING;

EID: 78650693208     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10291-2_36     Document Type: Conference Paper

References (12)

1. Laskari, E.C., Parsopoulos, K.E., Vrahatis, M.N.: Particle swarm optimization for integer programming. In: CEC 2002: Proceedings of the Evolutionary Computation on 2002. CEC 2002. Proceedings of the 2002 Congress, pp. 1582-1587. IEEE Computer Society, Los Alamitos (2002)
2. Nemhauser, G.L., Wolsey, L.A.: Integer Progamming. In: Handbooks in Operations Research and Management Science, vol. 1. Elsevier Science and Technology, Amsterdam (1989)
3. Misra, K.B., Sharma, U.: An efficient algorithm to solve integer-programming problems arising in system-reliability design. IEEE Transactions On Reliability 40(1), 81-91 (1991)
4. Rouillon, S., Desaulniers, G., Soumis, F.: An extended branch-and-bound method for locomotive assignment. Transportation Research Part B: Methodological 40(5), 404-423 (2006) (Pubitemid 43257275)
5. Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: IEEE International Conference on Neural Networks 1995, vol. 4, pp. 1942-1948 (1995)
6. Karaboga, D.: An idea based on honey bee swarm for numerical optimization. Technical Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department (2005)
7. Tereshko, V.: Reaction-diffusion model of a honeybee colony's foraging behaviour. In: Deb, K., Rudolph, G., Lutton, E., Merelo, J.J., Schoenauer, M., Schwefel, H.- P., Yao, X. (eds.) PPSN 2000. LNCS, vol. 1917. Springer, Heidelberg (2000)
8. Sun, J., Feng, B., Xu, W.: Particle swarm optimization with particles having quantum behavior. In: Evolutionary Computation, CEC 2004, vol. 1, June 2004, pp. 325-331 (2004)
9. Rudolph, G.: An evolutionary algorithm for integer programming. In: PPSN III: Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature, pp. 139-148. Springer, Heidelberg (1994)
10. Glankwahmdee, A., Liebman, J.S., Hogg, G.L.: Unconstrained discrete nonlinear programming. Engineering Optimization 4, 95-107 (1979) (Pubitemid 9450957)
11. Rao, S.S.: Engineering Optimization- Theory and Practice. Wiley Eastern, New Delhi (1996)
12. Liu, J., Sun, J., Xu, W.: Quantum-Behaved Particle Swarm Optimization for Integer Programming. In: King, I., Wang, J., Chan, L.-W., Wang, D. (eds.) ICONIP 2006. LNCS, vol. 4233, pp. 1042-1050. Springer, Heidelberg (2006)