J. Tay

Computers & industrial engineering · with Ho · 2008

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom J. Tay trusts overall

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

  1. John R. Koza
  2. Imed Kacem
  3. Abdullah Konak
  4. David W. Coit
  5. Alice E. Smith

Who trusts J. Tay overall

  1. Xinyu Li
  2. J. Branke
  3. Edmund Kieran Burke
  4. Liang Gao
  5. Su Nguyen
  6. Matthew R. Hyde
  7. Imran Ali Chaudhry
  8. Christoph W. Pickardt

Papers from J. Tay's perspective

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

  1. Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic (Mathematics and Computers in Simulation)
  2. Multi-objective optimization using genetic algorithms: A tutorial
  3. Genetic Programming: On the Programming of Computers by Means of Natural Selection
  4. Genetic Algorithms + Data Structures = Evolution Programs
  5. Genetic Algorithms in Search Optimization and Machine Learning
  6. Genetic Algorithms in Search
  7. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  8. Multi-objective optimization using evolutionary algorithms
  9. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
  10. A fast and elitist multiobjective genetic algorithm: NSGA-II

Their papers