Shubham Agrawal

Computational Theory and Mathematics · with Panigrahi · 2007–2008

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Shubham Agrawal trusts overall

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

  1. Mohammad Ali Abido
  2. David E. Goldberg
  3. Saudi Arabia
  4. Eckart Zitzler
  5. Carlos Artemio Coello Coello
  6. Kalyanmoy Deb
  7. Joshua D. Knowles
  8. Lothar Thiele
  9. Sanaz Mostaghim
  10. Mohammed R. AlRashidi

Who trusts Shubham Agrawal overall

  1. Yong Zhang
  2. D. Gong
  3. Konstantinos E. Parsopoulos
  4. Taher Niknam
  5. J. Vlachogiannis

Papers from Shubham Agrawal's perspective

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

  1. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
  2. Genetic Algorithms in Search Optimization and Machine Learning
  3. ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems (IEEE Transactions on Evolutionary Computation)
  4. 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))
  5. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art
  6. CONSTRAINT-HANDLING USING AN EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION TECHNIQUE
  7. A novel multiobjective evolutionary algorithm for environmental/economic power dispatch
  8. Environmental/economic power dispatch using multiobjective evolutionary algorithms (IEEE Power Engineering Society General Meeting)
  9. A Survey of Particle Swarm Optimization Applications in Electric Power Systems (IEEE Transactions on Evolutionary Computation)
  10. Genetic Algorithms in Search

Their papers