Margarita Reyes Sierra

Artificial Intelligence · 2 papers · 2004–2005

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Margarita Reyes Sierra trusts overall

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

  1. Eckart Zitzler
  2. Xiaodong Li
  3. Kalyanmoy Deb
  4. Carlos Artemio Coello Coello
  5. Tapabrata Ray
  6. Sanaz Mostaghim
  7. Lothar Thiele
  8. Jürgen Teich
  9. Marco Laumanns
  10. Samir Agrawal

Who trusts Margarita Reyes Sierra overall

  1. Seyedali Mirjalili
  2. Juan José Durillo
  3. Bing Xue
  4. Antonio J. Nebro
  5. Emrah Hançer
  6. Alec Banks
  7. Mengjie Zhang
  8. Hisao Ishibuchi
  9. Ryoji Tanabe
  10. Jonathan Vincent

Papers from Margarita Reyes Sierra's perspective

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

  1. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
  2. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
  3. A fast and elitist multiobjective genetic algorithm: NSGA-II
  4. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
  5. Evolutionary Algorithms for Solving Multi-Objective Problems
  6. A Cooperative Coevolutionary Approach to Function Optimization
  7. Handling multiple objectives with particle swarm optimization (IEEE Transactions on Evolutionary Computation)
  8. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization (Annual Conference on Genetic and Evolutionary Computation)
  9. 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))
  10. Simulated Binary Crossover for Continuous Search Space

Their papers