Author pages are created from data sourced from our academic publisher partnerships and public sources.
- Publications
- Influence
An introduction and survey of estimation of distribution algorithms
- Mark Hauschild, M. Pelikan
- Computer Science
- Swarm Evol. Comput.
- 1 September 2011
TLDR
Influence of selection and replacement strategies on linkage learning in BOA
- C. Lima, M. Pelikan, D. Goldberg, F. Lobo, K. Sastry, Mark Hauschild
- Computer Science
- IEEE Congress on Evolutionary Computation
- 1 September 2007
TLDR
A Survey of Estimation of Distribution Algorithms
- Mark Hauschild, M. Pelikan
- 2011
Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that explore the space of potential solutions by building and sampling explicit probabilistic models of promising… Expand
- 27
- 5
- PDF
Analyzing Probabilistic Models in Hierarchical BOA
- Mark Hauschild, M. Pelikan, K. Sastry, C. Lima
- Mathematics, Computer Science
- IEEE Transactions on Evolutionary Computation
- 1 December 2009
TLDR
Using Previous Models to Bias Structural Learning in the Hierarchical BOA
- Mark Hauschild, M. Pelikan, K. Sastry, D. Goldberg
- Mathematics, Medicine
- Evolutionary Computation
- 1 March 2012
TLDR
Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm
- M. Pelikan, Mark Hauschild, D. Thierens
- Mathematics, Computer Science
- GECCO '11
- 12 July 2011
TLDR
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap
- M. Pelikan, K. Sastry, D. Goldberg, M. Butz, Mark Hauschild
- Mathematics, Computer Science
- GECCO
- 8 July 2009
TLDR
Network crossover performance on NK landscapes and deceptive problems
- Mark Hauschild, M. Pelikan
- Mathematics, Computer Science
- GECCO '10
- 7 July 2010
TLDR
Intelligent bias of network structures in the hierarchical BOA
- Mark Hauschild, M. Pelikan
- Computer Science, Mathematics
- GECCO
- 8 July 2009
TLDR
Estimation of Distribution Algorithms
- M. Pelikan, Mark Hauschild, F. Lobo
- Computer Science
- Handbook of Computational Intelligence
- 2015
TLDR