Tea Tusar

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tea Tusar trusts overall

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

  1. Nikolaus Hansen
  2. M. Powell
  3. David F. Shanno
  4. Iroon Polytechniou

Papers from Tea Tusar's perspective

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

  1. A fast and elitist multiobjective genetic algorithm: NSGA-II
  2. The NEWUOA software for unconstrained optimization without derivatives
  3. PISA: A Platform and Programming Language Independent Interface for Search Algorithms (International Conference on Evolutionary Multi-Criterion Optimization)
  4. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
  5. jMetal: A Java framework for multi-objective optimization (Advances in Engineering Software)
  6. Benchmarking Derivative-Free Optimization Algorithms (SIAM Journal on Optimization)
  7. SMS-EMOA: Multiobjective selection based on dominated hypervolume (European Journal of Operational Research)
  8. Testing heuristics: We have it all wrong
  9. Conditioning of Quasi-Newton Methods for Function Minimization
  10. Convex Optimization: Algorithms and Complexity

Their papers