Amit Konar

Artificial Intelligence · 2005–2009

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Amit Konar trusts overall

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

  1. R. Eberhart
  2. James Kennedy
  3. John H. Holland
  4. Xin Yao
  5. Yuhui Shi
  6. Frans van den Bergh
  7. Jouni Lampinen
  8. Yong Liu
  9. Hussein A. Abbass
  10. Hui-Yuan Fan

Who trusts Amit Konar overall

  1. Swagatam Das
  2. Pinar Çivicioglu
  3. Yong Wang
  4. Ferrante Neri
  5. Nees Jan van Eck
  6. Ajith Abraham
  7. Ponnuthurai Nagaratnam Suganthan
  8. Guohua Wu
  9. Wenyin Gong
  10. Ana Isabel Marqués

Papers from Amit Konar's perspective

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

  1. Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
  2. Genetic Algorithms in Search Optimization and Machine Learning
  3. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  4. Evolutionary programming made faster
  5. 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))
  6. 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))
  7. A Cooperative approach to particle swarm optimization (IEEE Transactions on Evolutionary Computation)
  8. A Note on the Extended Rosenbrock Function (Evolutionary Computation)
  9. Parameter Control in Evolutionary Algorithms
  10. Completely Derandomized Self-Adaptation in Evolution Strategies

Their papers