Guo Yu

Computational Theory and Mathematics · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guo Yu trusts overall

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

  1. Kalyanmoy Deb
  2. Eckart Zitzler
  3. Ran Cheng
  4. Yaochu Jin
  5. Marco Laumanns
  6. J. Branke
  7. Qingfu Zhang
  8. Simon Huband
  9. Lothar Thiele
  10. Johannes Bader

Papers from Guo Yu's perspective

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

  1. Multi-objective optimization using evolutionary algorithms
  2. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
  3. A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
  4. A fast and elitist multiobjective genetic algorithm: NSGA-II
  5. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
  6. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
  7. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
  8. Scalable Test Problems for Evolutionary Multiobjective Optimization (Evolutionary Multiobjective Optimization)
  9. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
  10. Nonlinear multiobjective optimization

Their papers