An evolutionary algorithm for the biobjective QAP

Advances in Soft Computing

Volumn 38, Issue , 2006, Pages 577-586

  Borgulya, Istvan ^a  

^a NONE

Author keywords

EC memory method; Evolutionary algorithm; Multi objective optimization; QAP

Indexed keywords

EID: 79959245356     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (15)

1. Baluja S, Caruana R (1995) Removing the genetics from the standard ge-netic algorithms. In: Prieditis A, Russel S (Eds) Proceedings of the ICML95, Morgan Kaufmann San Fransisco. 38-46
2. Borgulya I (2005) A Multi-objective Evolutionary Algorithm with a Separate Archive. Central European Journal of Operations Research 13 (3): 233-254
3. Carbonaro A, Maniezzo V (2003) The Ant Colony Optimization paradigm for Combinatorical Optimization. In: Ghosh A, Tsutsui S (Eds.) Advances in Evolutionary Computing. Theory and Applications. Springer, Berlin Heidelberg New York. 539-557
4. Day RO, Lamont GB (2005) Multiobjective quadratic assignment problem solved by an explicit building block search algorithm MOMGA-IIa. Lecture Notes in Computer Science 3448, 91-100 (Pubitemid 41273991)
5. Deb K (2001) Multi-Objective Optimization using Evolutionary Algorithms. Wiley, New York
6. Goldberg DE (1989) Genetic Algorithm for Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA
7. Knowles JD, Corne DW (2002) Towards landscape analyses to inform the design of a hybrid local search for the multiobjective quadratic assignment problem. In: Abraham A, Ruiz-del-Solar J, Koppen M (Eds.) Soft Computing Systems: Design, Management and Applications. IOS, Amsterdam. 271-279
8. Knowles JD, Corne D (2003) Instance generators and test suites for the multiobjective quadratic assignment problem. Lecture Notes in Computer Science 2632, 295-310
9. Lopez-Ibanez M, Paquete L, Stützle T (2004) On the design of ACO for the biobjective quadratic assignment problem. Lecture Notes in Computer Science 3172, 214-225 (Pubitemid 39210715)
10. Merz B, Freisleben B (2000) Fitness landscape analysis and memetic algoritms for the quadratic assignment problem. IEEE Transactions on Evolutionary Computation 4 (4): 337-352 (Pubitemid 32075186)
11. Paquete L, Stützle T (2006) A study of stochastic local search algorithms for the biobjective QAP with correlated flow matrices. European Journal of Operational Research 169: 943-959 (Pubitemid 41508803)
12. Pardalos P, Rendl F, Wolkowicz H (1994) The quadratic assignment problem: a survey and recent developments. In: Pardalos P, Wolkowicz H (Eds.) Quadratic Assignment and Related Problems. American Mathematical Society, Providence, RI. 1-42
13. Reynolds RG, Chung CJ (1997) Regulation the Amount of Information Used for Self-Adaptation in Cultural Algorithms. In: Bäck T (Ed.) Proceedings of the 7th International Conference on Genetic Algorithm. Morgan Kaufmann, San Francisco. 401-308
14. Sebag M, Schoenauer M, Ravisé C (1997) Toward Civilized Evolution: Developing Inhibitions. In: Bäck T (ed) Proceedings of the 7th International Conference on Genetic Algorithm. Morgan Kaufmann, San Francisco. 291-298
15. Zitzler E, Thiele L, Laumanns M, Fonseca CM, da Fonseca G (2002) Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation 7 (2): 117-132