David Wolfe Corne

Artificial Intelligence · 2000–2007

A researcher in the Science corpus: 9 papers; trusts 8 researchers and is trusted by 159 researchers here, as inferred from the citation graph.

Subfields

Whom David Wolfe Corne trusts overall

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

  1. Joshua D. Knowles
  2. David E. Goldberg
  3. Eckart Zitzler
  4. Kalyanmoy Deb
  5. Lothar Thiele
  6. D. V. Veldhuizen
  7. Carlos Artemio Coello Coello
  8. Martin John Oates
  9. Gary B. Lamont
  10. Marco Laumanns

Who trusts David Wolfe Corne overall

  1. Joshua D. Knowles
  2. Kalyanmoy Deb
  3. Carlos Artemio Coello Coello
  4. Mikkel T. Jensen
  5. Ran Cheng
  6. Ye Tian
  7. Xing-yi Zhang
  8. Robin Charles Purshouse
  9. Maoguo Gong
  10. Michael T. M. Emmerich

Papers from David Wolfe Corne's perspective

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

  1. Genetic Algorithms in Search
  2. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
  3. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
  4. On measuring multiobjective evolutionary algorithm performance (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
  5. Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey
  6. Genetic Algorithms in Search Optimization and Machine Learning
  7. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization (Evolutionary Computation)
  8. Handling preferences in evolutionary multiobjective optimization: a survey (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
  9. M-PAES: a memetic algorithm for multiobjective optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
  10. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)

Their papers