Sporadic model building for efficiency enhancement of the hierarchical BOA

  title={Sporadic model building for efficiency enhancement of the hierarchical BOA},
  author={Martin Pelikan and Kumara Sastry and David E. Goldberg},
  journal={Genetic Programming and Evolvable Machines},
Efficiency enhancement techniques—such as parallelization and hybridization—are among the most important ingredients of practical applications of genetic and evolutionary algorithms and that is why this research area represents an important niche of evolutionary computation. This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other estimation of distribution algorithms (EDAs) that… CONTINUE READING
17 Citations
92 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 17 extracted citations


Publications referenced by this paper.
Showing 1-10 of 92 references

The Design of Innovation: Lessons from and for Competent Genetic Algorithms, Volume 7 of Genetic Algorithms and Evolutionary Computation

  • D. E. Goldberg
  • (Kluwer Academic Publishers,
  • 2002
Highly Influential
8 Excerpts

to Learning Bayesian Networks with Local Structure (Technical Report MSR-TR-97-07)

  • D. M. Chickering, D. Heckerman, C. Meek, A Bayesian Approac
  • (Microsoft Research, Redmond, WA,
  • 1997
Highly Influential
7 Excerpts

Hierarchical Methods: Hierarchy and Hierarchical Asymptotic Methods in Electrodynamics (Kluwer, Dordrecht

  • V. V. Kulish
  • Genet Program Evolvable Mach
  • 2008
2 Excerpts


  • M. Pelikan, K. Sastry
  • Cantú-Paz (eds.), Scalable Optimization via…
  • 2006
1 Excerpt

Similar Papers

Loading similar papers…