A multiobjective genetic algorithm for distributed database management

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 3, Issue , 2004, Pages 2117-2121

  Cui, Xunxue ^a   Lin, Chuang ^b  

^a NANJING UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

Adaptive configuration; Distributed Database Management Problem; Genetic algorithm; Multiobjective optimization

Indexed keywords

ADAPTIVE CONFIGURATION; DISTRIBUTED DATABASE MANAGEMENT PROBLEM; MULTIOBJECTIVE OPTIMIZATION; PARETO FRONT;

APPROXIMATION THEORY; GENETIC ALGORITHMS; INTELLIGENT AGENTS; MANAGEMENT; OPTIMIZATION; PERFORMANCE; PROBLEM SOLVING; SERVERS; WORLD WIDE WEB;

DATABASE SYSTEMS;

EID: 4444304210     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Deb K. Multiobjective Optimization using Evolutionary Algorithms. Chichester, UK: Wiley, 2001.
2. Van Veldhuizen D A and Lamont G B. Multiobjective evolutionary algorithm: analyzing the state-of-the-art. IEEE Trans. on Evolutionary Computation, 2000, 8(2): 125-147.
3. Corne D W, Oates M J and Smith G D. Telecommunications Optimisation: Heuristric and adaptive Techniques. John Wiley and Sons Ltd., UK, 2000.
4. Oates M J and Come D W. Investigating evolutionary approaches for self-adaptation in large distributed databases. In: Proceedings of the 1998 IEEE Conference on Evolutionary Computation, 1998: 452-457
5. March S T and Rho S. Allocating data and operations to nodes in distributed database design. IEEE Trans. on Knowledge and Data Engineering, 1995, 7(2): 305-317.
6. Cedeno W and Vemuri V R, Database Design with Genetic Algorithms. In: Dasgupta D and Michalewicz Z (eds.), Evolutionary Algorithms in Engineering Applications, Springer-Verlag, 1997: 189-206.
7. Tanaka Y and Berlage O. Application of genetic algorithms to VOD network topology optimisation. IEICE Trans. Communication, 1996, 8:1046-1053.
8. Zhang C, Yao X and Yang J. An evolutionary approach to materialized views selection in a data warehouse environment. IEEE Trans. on Systems, Man and Cybernetics, Part C, 2001, 31(3): 282-294.
9. Bilchev G and Olafsson S. Comparing evolutionary algorithms and greedy heuristics for adaption problems. In: Proceedings of 1998 Conference on Evolutionary Computation, 1998: 458-463.
10. Fonseca C M and Fleming P J. Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In: Proceedings of the 5th international conference on genetic algorithms, 1993: 416-423.
11. Kapur Jand Kesavan H. Entropy optimization principles with applications. San Diego: Academic Press, 1992.
12. Van Veldhuizen D A and Lamont G B. On measuring multiobjective evolutionary algorithm performance. In: Proceedings of 2000 Congress on Evolutionary Computation, volume 1, 2000: 204-211.