A multi-objective Artificial Bee Colony for optimizing multi-objective problems

ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings

Volumn 5, Issue , 2010, Pages

  Hedayatzadeh, Ramin ^a   Hasanizadeh, Bahareh ^a   Akbari, Reza ^b   Ziarati, Koorush ^b  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

^b SHIRAZ UNIVERSITY   (Iran)

Author keywords

Artificial Bee Colony; Multi objective optimization

Indexed keywords

EID: 78149342114     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACTE.2010.5579761     Document Type: Conference Paper

References (12)

1. Agrawal S. , Dashora Y, Tiwari M. K. , and Son Y J., Interactive Particle Swarm A Pareto-Adaptive Metaheuristic to Multiobjective Optimization, In IEEE Transactions on Systems, Man, and Cybernetics-Part, Vol. 38, No. 2, 2008, p. 258-277.
2. Leong W. F. , and Yen G. G. , PSO-Based Multiobjective Optimization with Dynamic Population Size and Adaptive Local Archives, In: IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, Vol. 38, No. 5, 2008, p. 1270-1293.
3. Coello Coello C A. , Pulido G. T. , and Lechuga M. S. Handling multiple objectives with particle swarm optimization. In: IEEE Transactions on Evolutionary Computation, 8(3), 2004, p. 256-279.
4. Mostaghim, S. , and Teich J., Covering pareto-optimal fronts by subswarms in multi-objective particle swarm optimization. In Congress on Evolutionary Computation, Vol. 2,2004, p. 1404-1411.
5. Deb K, Pratap A, Agarwal S ,and Meyarivan T. , A fast and elitist multiobjective genetic algorithm: NSGA-IL In: IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, 2002, p. 182-197.
6. Omkar S. Senthilnath N. , Khandelwal J. , R, Narayana Naik G. , Gopalakrishnan S ,Artificial Bee Colony [ABC) for Multi-Objective Design Optimization of Composite Structures, In: Journal of Applied Soft Computing, doi 10,1 01 6/j. asoc.2009.12.008.
7. Karaboga D, Basturk 8. A powerful and efficient algorithm for numerical function optimization artificial bee colony (ABC) algorithm. J Global Optim 2007;39:459-71.
8. Akbari R, Mohammadi M. , Ziarati K, "A novel bee swarm optimization algorithm for numerical function optimization", In: Journal of Communications on Nonlinear Sciences and Numerical Simulation 15 (2010), pp. 3142-3155.
9. Coello Coello C A, Reyes-Sierra M, Multi-Objective Particle Swarm Optimizers:A Survey of the State-of-the-Art, International Journal of Computational Intelligence Research. VoL2, No. 3, pp. 287-308.
10. Van Veldhuizen D. A, and Lamont G. 8. Multiobjective evolutionary algorithm research: A history and analysis, Wright-Patterson AFB, OH, Tech. Rep. TR-98-03, 1998.
11. Schott J R, Fault tolerant design using single and multicriteria genetic algorithm optimization, M. S. thesis, Dept. Aeronautics and Astronautics, Massachusetts Inst. TechnoL, Cambridge, MA, 1995.
12. Coello Coello C, Lamont G. 8., and Van Veldhuizen D. A, "Evolutionary Algorithms for Solving Multi-Objective Problems", Second Edition, Springer, 2007.