Multi-objective bee swarm optimization

International Journal of Innovative Computing, Information and Control

Volumn 8, Issue 1 B, 2012, Pages 715-726

  Akbari, Reza ^a   Ziarati, Koorush ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Bee swarm optimization; Multi objective optimization

Indexed keywords

ADAPTIVE WINDOWING; HYPERCUBE; MULTI OBJECTIVE; OPTIMIZATION METHOD; PARETO FRONT; SWARM OPTIMIZATION;

ALGORITHMS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84856975058     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. K. E. Parsopoulos and M. N. Vrahatis, Particle swarm optimization method in multiobjective problems, Proc. of the 2002 ACM Symposium on Applied Computing, pp.603-607, 2002.
2. U. Baumgartner, C. Magele and W. Renhart, Pareto optimality and particle swarm optimization, IEEE Transactions on Magnetics, vol.40, no.2, pp. 1172-1175, 2004.
3. C. A. Coello Coello, D. A. Van Veldhuizen and G. B. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer Academic Publishers, New York, 2002.
4. X. Hu, R. C. Eberhart and Y. Shi, Particle swarm with extended memory for multiobjective optimization, Proc. of the 2003 IEEE Swarm Intelligence Symposium, pp.193-197, 2003.
5. E. Ozcan and C. K. Mohan, Particle swarm optimization: Surfing the waves, Congress on Evolutionary Computation, Washington D.C., USA, pp.1939-1944, 1999.
6. M. Clerc and J. Kennedy, The particle swarm-explosion, stability, and convergence in a multidimensional complex space, IEEE Transactions on Evolutionary Computation, vol.6, no. l, pp.58-73, 2002.
7. D. Liu, C. K. Tan, C. K. Goh and W. K. Ho, A multiobjective memetic algorithm based on particle swarm optimization, IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol.37, no. l, pp.42-50, 2007.
8. C. Liu and Y. Wang, A new dynamic multi-objective optimization evolutionary algorithm, International Journal of Innovative Computing, Information and Control, vol.4, no.8, pp.2087-2096, 2008.
9. K. Li, J. Zheng, M. Li, C. Zhou and H. Lv, A novel slicing based algorithm to calculate hypervolume for multi-objective optimization problems, ICIC Express Letters, vol.4, no.4, pp.1113-1120, 2010.
10. C. A. Coello Coello, G. T. Pulido and M. S. Lechuga, Handling multiple objectives with particle swarm optimization, IEEE Transactions on Evolutionary Computation, vol.8, no.3, pp.256-279, 2004.
11. K. Deb, A. Pratap, S. Agarwal and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, no.2, pp.182-197, 2002.
12. C. Liu and Y. Wang, A new evolutionary algorithm for multi-objective optimization problems, ICIC Express Letters, vol.1, no. l, pp.93-98, 2007.
13. C.-C. Lai, C.-H. Wu and M.-C. Tsai, Feature selection using particle swarm optimization with application in spam filtering, International Journal of Innovative Computing, Information and Control, vol.5, no.2, pp.423-432, 2009.
14. X. Zhang, H. Meng and L. Jiao, Intelligent particle swarm optimization in multiobjective optimization, Congress on Evolutionary Computation, pp.714-719, 2005.
15. R. Akbari, M. Mohammadi and K. Ziarati, A novel bee swarm optimization algorithm for numerical function optimization, Journal of Communications in Nonlinear Science and Numerical Simulation, vol. 15, no.10, pp.3142-3155, 2010.
16. C. A. Coello Coello, G. B. Lamont and D. A. Van Veldhuizen, Evolutionary Algorithms for Solving Multi-Objective Problems, 2nd Edition, Springer, 2009.