Adaptive Reservoir Evolutionary Algorithm: An evolutionary on-line adaptation scheme for global function optimization

Journal of Heuristics

Volumn 10, Issue 6, 2004, Pages 555-586

  Munteanu, C ^a   Rosa, A C ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Decision process; Evolutionary Algorithms; Fitness landscape; Global optimization; Memetic algorithms; Metaheuristics; On line adaptation

Indexed keywords

DECISION MAKING; EVOLUTIONARY ALGORITHMS; FUNCTIONS; METADATA; OPTIMIZATION; PROBLEM SOLVING; THEOREM PROVING;

DECISION PROCESS; FITNESS LANDSCAPE; MEMETIC-ALGORITHMS; METAHEURISTICS; ON-LINE ADAPTATION;

HEURISTIC METHODS;

EID: 14844350736     PISSN: 13811231     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10732-005-5430-7     Document Type: Review

References (31)

1. Altenberg, L. (1995). "The Schema Theorem and Price's Theorem." In Foundations of Genetic Algorithms 3. Morgan Kauffman Publ., pp. 23-49.
2. Bäck, T., D. Fogel, and Z. Michalewicz. (1997). Handbook of Evolutionary Computation. Oxford University Press.
3. Bäck, T. and F. Hoffmeister. (1991). "Extended Selection Mechanisms in Genetic Algorithms." In Proceedings of Third International Conference on Genetic Algorithms. Morgan Kauffman Publ., pp. 27-31.
4. Bäck, T. (1996). Evolutionary Algorithms in Theory and Practice. New York: Oxford University Press.
5. Blickle, T. and L. Thiele. (1996). "A comparison of Selection Schemes Used in Evolutionary Algorithms." Evolutionary Computation 4(4), 361-394.
6. Corne, D., M. Dorigo, and F. Glover. (1999). New Ideas in Optimization. London: McGrawHill.
7. Deb, K. and H.-G. Beyer. (2001). "Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover." Evolutionary Computation 9(2), 197-221.
8. Eshelman, L. (1991). "The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination." In Foundations of Genetic Algorithms 1. Morgan Kauffman Publ., pp. 265-283.
9. Eshelman, L. and J. Schaffer. (1991). "Real-Coded Genetic Algorithms and Interval-Schemata." Foundation of Genetic Algorithms. Morgan Kauffman Publ., pp. 187-202.
10. Fukunaga, K. (1974). Introduction to Statistical Pattern Recognition. Academic Press.
11. Gill, P.E., W. Murray, and M. Wright. (1981). Practical Optimization. Inc., London: Academic Press.
12. Goldberg, D. (1989). Genetic Algorithm in Search, Optimization, and Machine Learning. Addison-Wesley Publ. Company, Inc.
13. Higuchi, T., S. Tsutsui, and Masayuki Y. (2000). "Theoretical Analysis of Simplex Crossover for Real-Coded Genetic Algorithm." In Parallel Problem Solving from Nature VI. Springer Verlag, pp. 365-374.
14. Hinterding, R., Z. Michalewicz, and A. Eiben. (1997). "Adaptation in Evolutionary Computation: A Survey." In Proceeings of IEEE ICEC97, pp. 65-69.
15. Hordijk, W. (1996). "A Measure of Landscapes." Evolutionary Computation 4(4), 335-360.
16. Horn, J. and D. Goldberg. (1995). "Genetic Algorithm Difficulty and the Modality of Fitness Landscapes." In Foundations of Genetic Algorithms 3. Morgan Kauffman Publ., pp. 243-269.
17. Miller, B. and D. Goldberg. (1996b). "Genetic Algorithms, Tournament Selection and the Effects of Noise." Complex Systems, 9, 193-212.
18. Mühlenbein, H. and S. Voosen. (1993). "Predictive Models for the Breeder Genetic Algorithms: Continuous Parameter Optimization." Evolutionary Computation 1(1), 25-49.
19. Munteanu, C. and V. Lazarescu. (1998). "A New Approach to Global Search Using a Genetic Framework: The Adaptive Reservoir Genetic Algorithm". In Proceedings of MENDEL'98, pp. 74-79.
20. Nelder, J.A. and R. Mead. (1965). "A Simplex Method for Function Minimization." Computer Journal 7, 308-313.
21. Ono, I. and S. Kobayashi. (1997). "A Real-coded Genetic Algorithm for Function Optimization Using Unimodal Normal Distribution Crossover." In Proceedings of Seventh International Conference on Genetic Algorithms. Morgan Kauffman Publ., pp. 246-253.
22. Ribeiro, C. and P. Hansen. (2001). Essays and Surveys in Metaheuristics. Kluwer Academic Publishers.
23. Ross, S. (1996). Stochastic Processes. John Wiley & Sons.
24. Rudolph, G. (1998). "Finite Markov Chain Results in Evolutionary Computation: A Tour d'Horizon." Fundamenta Informaticae, IOS Press, pp. 1-22.
25. The Mathworks (2002). Statistics toolbox for use with Matlab. The Math Works, Inc.
26. Vassilev, V., T. Fogarty, and J. Miller. (2000). "Information Characteristics and the Structure of Landscapes." Evolutionary Computation 8(1), 31-60.
27. Vose, M. (2000). The Simple Genetic Algorithm. MIT Press.
28. Weinberger, E.D. (1990). "Correlated and Uncorrelated Fitness Landscapes and How to Tell the Difference." Biological Cybernetics, 63, 325-336.
29. Whitley, D., K. Mathias, S. Rana, and J. Dzubera. (1995). "Building Better Test Functions." In Proceedings of Fifth International Conference on Genetic Algorithms: Morgan Kauffman Publ., pp. 239-246.
30. Wolpert, D. and W.G. Macready. (1997). "No Free Lunch Theorems for Optimization." IEEE Trans. on Evolutionary Computation 1(1), 67-82.
31. Zhong, W., J. Liu, M. Xue, and Jiao, Licheng. (2004). "A Multiagent Genetic Algorithm for Global Numerical Optimization." IEEE Trans. on Systems, Man and Cybernetics: B 34(2), 1128-1141.