Ling Wang

Artificial Intelligence · Applied Mathematics and Computation · 2005–2012

A researcher in the Science corpus: 8 papers; trusts 15 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Ling Wang trusts overall

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

  1. Carlos Artemio Coello Coello
  2. David E. Goldberg
  3. Yew-Soon Ong
  4. Hartmut Stadtler
  5. Jouni Lampinen
  6. David S. Johnson
  7. Rubén Ruiz
  8. Qie He
  9. Efrén Mezura-Montes
  10. Hisao Ishibuchi

Who trusts Ling Wang overall

  1. Seyedali Mirjalili
  2. Ali Kaveh
  3. Hamid Salimi
  4. Jiankai Xue
  5. Sankalap Arora
  6. Erwie Zahara
  7. Jinhua Wang
  8. Seyed Mohammad Mirjalili
  9. Ali Asghar Heidari
  10. Pinar Çivicioglu

Papers from Ling Wang's perspective

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

  1. Genetic Algorithms in Search Optimization and Machine Learning
  2. A constraint handling approach for the differential evolution algorithm (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
  3. Classification of adaptive memetic algorithms: a comparative study (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
  4. Meta-Lamarckian learning in memetic algorithms (IEEE Transactions on Evolutionary Computation)
  5. Use of a self-adaptive penalty approach for engineering optimization problems
  6. Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling (IEEE Transactions on Evolutionary Computation)
  7. Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling
  8. The NP-Completeness Column: An Ongoing Guide
  9. Particle swarm optimization: developments, applications and resources (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
  10. Simple mathematical models with very complicated dynamics

Their papers