Nick R. Jerram

Artificial Intelligence · 2001

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nick R. Jerram trusts overall

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

  1. Joshua D. Knowles
  2. David Wolfe Corne
  3. Eckart Zitzler

Who trusts Nick R. Jerram overall

  1. Joshua D. Knowles
  2. Ye Tian
  3. Ran Cheng
  4. Christophe Eloy
  5. Xing-yi Zhang
  6. Yaochu Jin
  7. Satyasai Jagannath Nanda
  8. Julia Handl
  9. Miqing Li
  10. Abdullah Konak

Papers from Nick R. Jerram's perspective

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

  1. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
  2. M-PAES: a memetic algorithm for multiobjective optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
  3. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
  4. Genetic Algorithms in Search
  5. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
  6. On measuring multiobjective evolutionary algorithm performance (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
  7. Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey
  8. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
  9. The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration (International Conference on Evolutionary Multi-Criterion Optimization)
  10. A faster algorithm for calculating hypervolume (IEEE Transactions on Evolutionary Computation)

Their papers