Saku Kukkonen

Artificial Intelligence · 2005

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Saku Kukkonen trusts overall

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

  1. Kalyanmoy Deb
  2. Mikkel T. Jensen
  3. Hussein A. Abbass
  4. Nikolaus Hansen
  5. Tea Robic
  6. Kaisa Miettinen
  7. Andreas Ostermeier
  8. Amrit Pratap
  9. Bogdan Filipic
  10. Nateri K. Madavan

Who trusts Saku Kukkonen overall

  1. Swagatam Das
  2. Juan José Durillo
  3. Christian von Lücken
  4. Ye Tian
  5. Ponnuthurai Nagaratnam Suganthan
  6. Heiner Zille
  7. Alejandro M. Aragón
  8. Efrén Mezura-Montes
  9. Antonio J. Nebro
  10. Ferrante Neri

Papers from Saku Kukkonen's perspective

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

  1. A fast and elitist multiobjective genetic algorithm: NSGA-II
  2. Multi-objective optimization using evolutionary algorithms
  3. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  4. Constrained Test Problems for Multi-objective Evolutionary Optimization (International Conference on Evolutionary Multi-Criterion Optimization)
  5. PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
  6. Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation
  7. Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
  8. The self-adaptive Pareto differential evolution algorithm (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
  9. Nonlinear multiobjective optimization
  10. Multiobjective optimization using a Pareto differential evolution approach (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))

Their papers