Yüksel Göktaş

Computer Vision and Pattern Recognition · 2009–2016

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yüksel Göktaş trusts overall

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

  1. Kalyanmoy Deb
  2. Sanaz Mostaghim
  3. Carlos Artemio Coello Coello
  4. Jürgen Teich
  5. J. Pallant
  6. Soner Yıldırım
  7. Gregorio Toscano Pulido
  8. Samir Agrawal
  9. Xin Yao
  10. Andy Field

Papers from Yüksel Göktaş's perspective

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

  1. A fast and elitist multiobjective genetic algorithm: NSGA-II
  2. Stochastic ranking for constrained evolutionary optimization (IEEE Transactions on Evolutionary Computation)
  3. Handling multiple objectives with particle swarm optimization (IEEE Transactions on Evolutionary Computation)
  4. Multi-objective optimization using evolutionary algorithms
  5. Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) (Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706))
  6. A Survey of Augmented Reality
  7. Affordances and Limitations of Immersive Participatory Augmented Reality Simulations for Teaching and Learning
  8. Cognitive Load Theory and Instructional Design: Recent Developments
  9. Criteria, Strategies and Research Issues of Context-Aware Ubiquitous Learning (J. Educ. Technol. Soc.)
  10. “Making it real”: exploring the potential of augmented reality for teaching primary school science (Virtual Reality)

Their papers