Jagdish Chandra Patra

Artificial Intelligence · 2002–2013

A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Jagdish Chandra Patra trusts overall

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

  1. Gérard Dreyfus
  2. Richard D. Braatz
  3. Yung-Keun Kwon
  4. Roberto Battiti
  5. Kashif Ishaque
  6. B. Moon
  7. Ada Hamosh
  8. Kwang-Il Goh
  9. Tomaso A. Poggio
  10. Martin T. Hagan

Who trusts Jagdish Chandra Patra overall

  1. Ajit Kumar Rout
  2. Pradipta Kishore Dash
  3. Anmin Zou
  4. Rajashree Dash
  5. Ranjeeta Bisoi
  6. Nagarajan Natarajan
  7. Yaling Nie
  8. Yifeng Li
  9. Gamage Upeksha Ganegoda
  10. Krishna Dev Kumar

Papers from Jagdish Chandra Patra's perspective

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

  1. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  2. A Fuzzy Adaptive Differential Evolution Algorithm (2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.)
  3. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems (IEEE Transactions on Evolutionary Computation)
  4. Self-adaptive differential evolution algorithm for numerical optimization (IEEE Congress on Evolutionary Computation)
  5. Differential evolution algorithm with ensemble of parameters and mutation strategies (Applied Soft Computing)
  6. Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders
  7. New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I–V characteristics
  8. Networks for approximation and learning
  9. JADE: Adaptive Differential Evolution With Optional External Archive (IEEE Transactions on Evolutionary Computation)
  10. Parameter extraction of solar cells using particle swarm optimization

Their papers