Uday Kumar Chakraborty

Artificial Intelligence · 2005–2010

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Uday Kumar Chakraborty trusts overall

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

  1. Xin Yao
  2. James Kennedy
  3. John H. Holland
  4. Hussein A. Abbass
  5. Nikolaus Hansen
  6. Zhenyu Yang
  7. Kalyanmoy Deb
  8. Frans van den Bergh
  9. Anne Auger
  10. Junhong Liu

Who trusts Uday Kumar Chakraborty overall

  1. Pinar Çivicioglu
  2. Swagatam Das
  3. Wenyin Gong
  4. Ponnuthurai Nagaratnam Suganthan
  5. Michael G. Epitropakis
  6. Yong Wang
  7. Zhihua Cai
  8. Ilhem Boussaïd
  9. Ferrante Neri
  10. Guohua Wu

Papers from Uday Kumar Chakraborty's perspective

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

  1. A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems (Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753))
  2. Evolutionary programming made faster
  3. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  4. DEPSO: hybrid particle swarm with differential evolution operator (SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483))
  5. A Cooperative approach to particle swarm optimization (IEEE Transactions on Evolutionary Computation)
  6. Completely Derandomized Self-Adaptation in Evolution Strategies
  7. A Note on the Extended Rosenbrock Function (Evolutionary Computation)
  8. Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
  9. Parameter Control in Evolutionary Algorithms
  10. Large scale evolutionary optimization using cooperative coevolution (Information Sciences)

Their papers