Michael Wetter

Numerical Analysis · 2004–2020

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Wetter trusts overall

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

  1. Elijah Polak
  2. David E. Goldberg
  3. R. Eberhart
  4. Konstantinos E. Parsopoulos
  5. James Kennedy
  6. Michael N. Vrahatis
  7. Dimitri P. Bertsekas
  8. John A. Nelder
  9. Tamara G. Kolda

Who trusts Michael Wetter overall

  1. L. Magnier
  2. F. Haghighat

Papers from Michael Wetter's perspective

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

  1. Genetic Algorithms in Search Optimization and Machine Learning
  2. A new optimizer using particle swarm theory
  3. Nonlinear Programming
  4. A Simplex Method for Function Minimization
  5. Optimization: Algorithms and Consistent Approximations
  6. Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods
  7. Recent approaches to global optimization problems through Particle Swarm Optimization (Natural Computing)
  8. Numerical recipes in C++: The art of scientific computing
  9. A design optimization tool based on a genetic algorithm
  10. A rigorous framework for optimization of expensive functions by surrogates

Their papers