Chi Keong Goh

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Chi Keong Goh trusts overall

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

  1. Kalyanmoy Deb
  2. Eckart Zitzler
  3. Mitchell A. Potter
  4. Christopher D. Rosin
  5. Frans van den Bergh
  6. Joshua D. Knowles
  7. Lothar Thiele
  8. J. Branke
  9. Marco Laumanns
  10. Andries Petrus Engelbrecht

Who trusts Chi Keong Goh overall

  1. Shouyong Jiang
  2. Shengxiang Yang
  3. Aimin Zhou
  4. Michalis Mavrovouniotis
  5. Yaochu Jin
  6. Changhe Li
  7. Qingfu Zhang
  8. Zhi-hui Zhan
  9. Ran Cheng
  10. Trung-Thanh Nguyen

Papers from Chi Keong Goh's perspective

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

  1. A fast and elitist multiobjective genetic algorithm: NSGA-II
  2. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
  3. On metrics for comparing nondominated sets (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
  4. SPEA2: Improving the strength pareto evolutionary algorithm
  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. The balance between proximity and diversity in multiobjective evolutionary algorithms (IEEE Transactions on Evolutionary Computation)
  8. Multi-objective optimization using evolutionary algorithms
  9. Evolutionary Optimization in Dynamic Environments (Genetic Algorithms and Evolutionary Computation)
  10. Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach (Annual Conference on Genetic and Evolutionary Computation)

Their papers