Ying-Biao Ling

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ying-Biao Ling trusts overall

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

  1. Xin-She Yang
  2. Seyedali Mirjalili
  3. Seyed Mohammad Mirjalili
  4. Ilya Pavlyukevich
  5. Dervis Karaboga
  6. Andrew Lewis
  7. S. Mirjalili
  8. Salvador Garcia
  9. Ibrahim Aljarah
  10. Anis Farhan Kamaruzaman

Papers from Ying-Biao Ling's perspective

Ordered by how strongly the researchers Ying-Biao Ling trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)
  2. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization (J. Heuristics)
  3. Genetic Algorithms in Search Optimization and Machine Learning
  4. No free lunch theorems for optimization
  5. Cuckoo Search via Lévy flights (World Congress on Nature and Biologically Inspired Computing)
  6. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
  7. Lévy flights, non-local search and simulated annealing (Journal of Computational Physics)
  8. Flower Pollination Algorithm for Global Optimization (International Conference on Unconventional Computation and Natural Computation)
  9. Swarm Intelligence (Lecture Notes in Computer Science)
  10. Grey Wolf Optimizer (Advances in Engineering Software)

Their papers