A multi-objective evolutionary algorithm based on membrane systems

Proceedings of 4th International Workshop on Advanced Computational Intelligence, IWACI 2011

Volumn , Issue , 2011, Pages 103-109

  Liu, Chuang ^a   Han, Min ^a   Wang, Xin Zhe ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BENCH-MARK PROBLEMS; CANDIDATE SOLUTION; COMPARATIVE STUDIES; EVOLUTION RULES; INNER REGION; LIVING CELL; MEMBRANE SYSTEM; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; MULTI-SET; MULTI-SETS; NOVEL ALGORITHM; PARETO FRONT; PERFORMANCE METRICS;

ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION;

PROBLEM SOLVING;

EID: 84863345127     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWACI.2011.6159983     Document Type: Conference Paper

References (22)

1. G. Paun, "Computing with membranes," Journal of Computer and System Sciences, vol. 61, pp. 108-143, 2000.
2. G. Paun, G. Rozenberg, A. Salomaa. The Oxford handbook of membrane computing. Oxford Handbooks, 2010.
3. T. Y. Nishida. "An application of P-system: A new algorithm for NP-complete optimization problems," in 8th World Multi-Conference on Systems, Cybernetics and Informatics. 2004, IIIS: Orlando. pp. 109-112.
4. Huang Liang, Wang Ning. "An optimization algorithm inspired by me mbrane computing," in Proc. of ICNC. 2006. pp. 49-52.
5. Zhang GeXiang, M. Gheorghe, Wu Chao-Zhong. "A quantum-inspired evolutionary algorithm based on P systems for knapsack problem," Fundamenta Informaticae, vol. 87, pp. 93-116, 2008
6. Huang Liang, He Xiong Xiong, Wang Ning and Xie Yi. "P systems ba sed multi-objective optimization algorithm," Progress in Natural Science, vol. 17, pp. 458-465, 2007.
7. Zhang. Gexiang, Li. Yuquan, M. Gheorghe, "A multi-objective membr ane algorithm for knapsack problems," in Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conf erence on, pp. 604-609, 2010.
8. G. G. Yen, W. F. Leong. "Dynamic Multiple Swarms in Multiobjective Particle Swarm Optimization," IEEE Transactions on Systems Man and Cybernetics Part a-Systems and Humans, vol. 39, pp. 890-911, 2009.
9. Y. Cooren, M. Clerc, P. Siarry. MO-TRIBES, "an adaptive multiobject ive particle swarm optimization algorithm," Computational Optimization and Applications, vol. 49, pp. 379-400, 2011.
10. K. Deb, A. Pratap, S. Agarwal, T. Meyarivan. "A fast and elitist multio bjective genetic algorithm: NSGA-II," IEEE Transactions on Evolutionary Computation, vol. 6, pp. 182-197, 2002. (Pubitemid 34555372)
11. K. Deb, A. Kumar. "Real-coded Genetic Algorithms with Simulated Bi nary Crossover: Studies on Multimodal and Multiobjective Problems," Complex Systems, vol. 9, pp. 431-454, 1995. (Pubitemid 127068000)
12. E. Zitzler, L. Thiele. "Multiobjective evolutionary algorithms: A comp arative case study and the Strength Pareto approach," IEEE Transactions on Evolutionary Computation, vol. 3, pp. 257-271, Nov 1999. (Pubitemid 30544879)
13. J. D. Knowles, D. W. Corne. "Approximating the nondominated front using the Pareto Archived Evolution Strategy," Evolutionary computation, vol. 8, pp. 149-72, 2000.
14. D. M. Jaeggi, G. T. Parks, T. Kipouros, P. J. Clarkson. "The developme nt of a multi-objective Tabu Search algorithm for continuous optimizat ion problems," European Journal of Operational Research, vol. 185, p p.1192-1212,2008.
15. J. Q. Gao, J. Wang. "A hybrid quantum-inspired immune algorithm for multiobjective optimization," Applied Mathematics and Computation, vol. 217, pp. 4754-4770, 2011.
16. E. Zitzler, K. Deb, L. Thiele. "Comparison of multiobjective evolution ary algorithms: empirical results," Evolutionary computation, vol.8, pp. 173-95, 2000.
17. D. C. Montgomery, Design and analysis of experiments. John Wiley & Sons Inc, 2008.
18. T. G. Dietterich. "Approximate statistical tests for comparing supervise d classification learning algorithms," Neural Computation, vol.10, pp. 1895-1923, 1998.
19. D. R. White, A. Arcuri, J. A. Clark. "Evolutionary Improvement of Pro grams," IEEE Transactions on Evolutionary Computation, vol. 15, pp. 515-538, 2011.
20. P. W. Moore, G. K. Venayagamoorthy. "Evolving digital circuits using hybrid particle swarm optimization and differential evolution," Interna tional Journal of Neural Systems, vol.16, pp.163-177, 2006.
21. O. Schutze, A. Lara, C. A. Coello Coello. "On the Influence of the Nu mber of Objectives on the Hardness of a Multiobjective Optimization Problem," IEEE Transactions on Evolutionary Computation, vol. 15, pp. 444-455, 2011.
22. G. S. Mahapatra, M. Mitra, T. K. Roy. "Intuitionistic fuzzy multi-objec tive mathematical programming on reliability optimization model," International Journal of Fuzzy Systems, vol. 12, pp.259-266, 2010.