A hybrid fuzzy evolutionary algorithm for a multi-objective resource allocation problem

Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems

Volumn 2005, Issue , 2005, Pages 55-60

  Rachmawati, Lily ^a   Srinivasan, Dipti ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY EVOLUTIONARY ALGORITHM; FUZZY INFERENCE SYSTEM; STUDENT PROJECT ALLOCATION (SPA);

DECISION MAKING; FUNCTION EVALUATION; FUZZY SETS; OPTIMIZATION; PROBLEM SOLVING; RESOURCE ALLOCATION;

EVOLUTIONARY ALGORITHMS;

EID: 33846961130     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHIS.2005.10     Document Type: Conference Paper

References (23)

1. Santiago-Mozos, R., Salcedo-Sanz, S., DePrado-Cumplido, M., Bousono-Calzon, C, "A two-phase heuristic evolutionary algorithm for personalizing course timetables: a case study in a Spanish university", Computers and Operations Research, Vol. 32, No. 7, 2005, pp. 1761-1776.
2. Inoue, T., Furuhashi, T., Maeda, H., Takaba, M., "A proposal of combined method of evolutionary algorithm and heuristics for nurse scheduling support system", IEEE Trans on Industrial Electronics, Vol. 50, No. 5, 2003, pp. 833-838.
3. Youssef, H., Sait, S.M., Khan, S.A., "A fuzzy evolutionary algorithm for topology design of campus networks", Arabian Journal for Science and Engineering, Vol. 29, No. 2B, 2004, pp. 195-212.
4. Youssef, H., Sait, S.M., Khan, S.A., "Fuzzy evolutionary hybrid metaheuristic for network topology design", Lecture Notes in Computer Science, Vol. 1993, Springer-Verlag, 2001, pp. 400-415.
5. Van Le, T., "A fuzzy evolutionary approach to constrained optimisation problems", Proc. of IEEE Intl. Conf. on Evolutionary Computation, 1995, p. 317.
6. Kacem, I., Hammadi, S., Borne, P., "Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic", Mathematics and Computers in Simulation, Vol. 60, Sp. Iss. S.I., 2002, pp. 245-276.
7. Horn, J., and Nafpliotis, N., "Multi-objective optimization using the niched pareto genetic algorithm", IlliGAL Report 93005, Illinois Genetic Algorithms Lab., Univ. Illinois, Urbana-Champaign, 1995.
8. Srinivas, N. and Deb, K., "Multiple Objective Optimization with Non-dominated Sorting Genetic Algorithms", Evolutionary Computation, Vol. 2, No.3, 1995, pp. 1556-1561.
9. Zitzler, E., and Thiele, L., "Multi-objective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach", IEEE Trans. on Evol. Comp., Vol. 3, No. 4, 1999, pp. 257-271.
10. Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T., "A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, 2002, pp. 182-197.
11. Zeng, S.Y., Kang, L.S.S., Ding, L.X.X., "An Orthogonal Multi-Objective Evolutionary Algorithm for Multi-Objective Optimization Problems", Evolutionary Computation, Vol. 12, No. 1, 2004, pp. 77-98.
12. Kim, M., Hiroyasu, T., and Miki, M., et al., "SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2", Lecture Notes in Computer Science, Vol. 3242, 2004, pp. 742-751.
13. Zeng, S.Y., Yao, S.Z., Kang, L.S. and Liu, Y., "An Efficient Multi-Objective Evolutionary Algorithm: OMOEA-II", Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science, Vol. 3410, 2005, pp. 108-119.
14. Hu, X.L., Coello, C.A.C., and Huang, Z.C., "A New Multi-Objective Evolutionary Algorithm: Neighborhood Exploring Evolution Strategy", Engineering Optimization, Vol. 34, No. 4, June 2005, pp. 351-379.
15. Coello, C., "Handling Preferences in Evolutionary Multi-objective Optimization: A survey", Proc. Congr. Evolutionary Computation, vol. 1, July 2000, pp. 30-37.
16. Branke, J., Kaußler, T., Schmeck, H., "Guidance in Evolutionary Multi-Objective Optimization", Advances in Engineering Software, Vol. 32, 2001, pp. 499-507.
17. Branke, J., Deb, K., Dierolf, H., and Osswald, M., "Finding Knees in Multi-Objective Optimization". Lecture Notes in Computer Science, Vol. 3242. Springer-Verlag, Berlin Heidelberg New York, 2004, pp 722-731.
18. Farina, M. and Amato, P., "A Fuzzy Definition of Optimality for Many Criteria Optimization Problems", IEEE Trans. on Systems, Man and Cybernetics - Part A: Systems and Humans, Vol. 34, No. 3, 2004, pp. 315-326.
19. Abido, M.A. and Bakhashwain, J.M., "Optimal VAR Dispatch Using a Multi-objective Evolutionary Algorithm", International Journal of Electrical Power and Energy Systems, Vol. 27, Issue 1, January 2005, pp. 13-20.
20. Pirjanian, P., "Multiple Objective Action Selection and Behavior Fusion using Voting". PhD thesis, Department of Medical Informatics and Image Analysis, Institute of Electronic Systems, Aalborg University, Aalborg, Denmark, August 1998.
21. Teo, C.Y, and Ho, D.J., "A Systematic Approach to the Implementation of Final Year Project in an Electrical Engineering Undergraduate Course", IEEE Trans. on Education, Vol. 41, No. 1, 1998, pp. 25-30.
22. Anwar, A.A., and Bahaj, A.S., "Student Project Allocation Using Integer Programming", IEEE Transactions on Education, Vol. 46, No. 3, 2003, pp. 359-367.
23. Klement, E.P., Mesiar, R., Pap, E., Triangular norms, Kluwer, 2000.