James M. Parr

Computational Theory and Mathematics · 2012

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom James M. Parr trusts overall

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

  1. Andy J. Keane
  2. Kalyanmoy Deb
  3. Yaochu Jin
  4. Donald R. Jones
  5. Rommel G. Regis
  6. András Sóbester
  7. David Ginsbourger
  8. Samir Agrawal
  9. M. Sasena
  10. Matthias Schonlau

Papers from James M. Parr's perspective

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

  1. Efficient Global Optimization of Expensive Black-Box Functions
  2. A Taxonomy of Global Optimization Methods Based on Response Surfaces
  3. A fast and elitist multiobjective genetic algorithm: NSGA-II
  4. Exploration of Metamodeling Sampling Criteria for Constrained Global Optimization
  5. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
  6. Review of Metamodeling Techniques in Support of Engineering Design Optimization (Design Automation Conference)
  7. Performance Scaling of Multi-objective Evolutionary Algorithms (International Conference on Evolutionary Multi-Criterion Optimization)
  8. Flexibility and efficiency enhancements for constrained global design optimization with kriging approximations.
  9. Statistical Improvement Criteria for Use in Multiobjective Design Optimization
  10. Kriging is well-suited to parallelize optimization

Their papers