Mark Hauschild

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Hauschild trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David E. Goldberg
  2. Erick Cantú-Paz
  3. Reuven Y. Rubinstein
  4. Martin Pelikan
  5. Kalyanmoy Deb
  6. Dan Geiger
  7. Rafal Salustowicz
  8. Chris S. Wallace
  9. Eckart Zitzler
  10. David E. Heckerman

Who trusts Mark Hauschild overall

  1. Thomas Bartz-Beielstein
  2. Martin Zaefferer
  3. Ilhem Boussaïd

Papers from Mark Hauschild's perspective

Ordered by how strongly the researchers Mark Hauschild trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning Bayesian Networks with Local Structure
  2. Multi-objective optimization using evolutionary algorithms
  3. Genetic Programming: On the Programming of Computers by Means of Natural Selection
  4. A fast and elitist multiobjective genetic algorithm: NSGA-II
  5. A Survey of Optimization by Building and Using Probabilistic Models (Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334))
  6. The compact genetic algorithm
  7. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution
  8. Approximating discrete probability distributions with dependence trees
  9. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  10. The Design of Innovation: Lessons from and for Competent Genetic Algorithms

Their papers