Rank-density based multiobjective genetic algorithm

Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002

Volumn 1, Issue , 2002, Pages 944-949

  Lu, Haiming ^a   Yen, Gary G ^a  

^a Oklahoma State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BENCHMARKING; GENETIC ALGORITHMS; PARETO PRINCIPLE;

BENCH-MARK PROBLEMS; EVOLUTIONARY APPROACH; FITNESS ASSIGNMENT; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI-OBJECTIVE GENETIC ALGORITHM; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; PARETO-OPTIMAL FRONT; PERFORMANCE INDICATORS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84901405698     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2002.1007052     Document Type: Conference Paper

References (17)

1. C. M. Fonseca and P. J. Fleming, "An overview of evolutionary algorithms in multiobjective optimization," Evol. Comput., vol. 3, pp. 1-16, 1995.
2. st IEEE Cong. Evolutionary Computation, vol. 1, pp. 67-72, 1994.
3. S. Ricardo and B. Amnon, "Evolutionary strategies for a parallel multi- objective genetic algorithm," in Proc. 9th Int. Conf. Genetic Algorithms, pp. 227-234,2000.
4. J. D. Knowles and D. W. Come, "Approximating the non-dominated front using the Pareto archived evolutionary strategy," Evol. Comput., vol. 8,pp.l49-172, 2000.
5. K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan, "A fast elitist non- dominated sorting genetic algorithm for multi-objective optimization: NSGA-Il," Parallel Problem Solving from Nature-PPSN VI, pp. 849- 858, 2000.
6. E. Zitzler, M. Laumanns and L. Thiele, SPEA2: Improving the Strength Pareto Evolutionary Algorithm, Technical Report TIK-Report 103, Swiss Federal Institute of Technology, 2001.
7. N. Srinivas and K. Deb, "Multi-Objective function optimization using non-dominated sorting genetic algorithms," Evol. Comput., vol. 2, pp. 221-248, 1994.
8. E. Zitzler and L. Thiele, "Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach," IEEE Trans. Evol. Comput., vol. 3, pp. 257-271, Nov. 1999.
9. C. M. Fonseca and P. J. Fleming, "Multiobjective optimization and multiple constraint handling with evolutionary algorithms-part I: A unified formulation," IEEE Trans. System, Man, and Cybernetics, vol. 28, pp. 26-37, Jan. 1998.
10. st Int. Conf. Genetic Algorithms, pp. 93- 100, 1985.
11. M. V. Rendon and E. U. Charre, "A non-generational genetic algorithm for multiobjective optimization," in Proc. 7th Int. Conf. Genetic Algorithms, pp. 658-665, 1997.
12. C. C. H. Borges and H. J. C. Barbosa, "A non-generational genetic algorithm for multiobjective optimization," in Proc. 7th. IEEE Cong. Evolutionary Computation, pp. 172-179, 2000.
13. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 1989.
14. st IEEE Cong. Evolutionary Computation, vol. 1, pp. 82-87, 1994.
15. T. Krink and R. K. Ursem, "Parameter control using agent based patchwork model," in Proc. 7th IEEE Cong. Evolutionary Computation, pp. 77-83, 2000.
16. D. A. Van Veldhuizen and G. B. Lament, "On measuring multiobjective evolutionary algorithm performance," in Proc. 7th IEEE Cong. Evolutionary Computation, pp. 204-211, 2000.
17. R. Viennet, "Multicriteria optimization using a genetic algorithm for determining a Pareto front," International Journal of Systems Science, vol. 2, pp. 255-260,1996.