Fitness-Probability Cloud and a Measure of Problem Hardness for Evolutionary Algorithms

Author:

Lu Guanzhou,Li Jinlong,Yao Xin

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Vassilev, V.K., Fogarty, T.C., Miller, J.F.: Smoothness, ruggedness and neutrality of fitness landscapes: from theory to application, pp. 3–44. Springer, Inc., New York (2003)

2. Borenstein, Y., Poli, R.: Information landscapes and problem hardness. In: Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, GECCO 2005, pp. 1425–1431. ACM, New York (2005)

3. Wright, S.: The roles of mutation, inbreeding, crossbreeding, and selection in evolution. In: Proc. 6th Congr. Genetics, vol. 1, p. 365 (1932)

4. Jones, T., Forrest, S.: Fitness distance correlation as a measure of problem difficulty for genetic algorithms. In: Proceedings of the 6th International Conference on Genetic Algorithms, pp. 184–192. Morgan Kaufmann Publishers Inc., San Francisco (1995)

5. Collard, P., Vérel, S., Clergue, M.: Local search heuristics: Fitness cloud versus fitness landscape. CoRR, abs/0709.4010 (2007)

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