Julian Blank

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julian Blank trusts overall

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

  1. Kalyanmoy Deb
  2. Juan José Durillo
  3. Félix-Antoine Fortin
  4. David E. Goldberg
  5. Adam Paszke
  6. Antonio J. Nebro
  7. Cameron Browne
  8. Tom Schaul
  9. Himanshu Jain
  10. Samir Agrawal

Papers from Julian Blank's perspective

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

  1. Multi-objective optimization using evolutionary algorithms
  2. A fast and elitist multiobjective genetic algorithm: NSGA-II
  3. Automatic differentiation in PyTorch
  4. The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration (International Conference on Evolutionary Multi-Criterion Optimization)
  5. jMetal: A Java framework for multi-objective optimization (Advances in Engineering Software)
  6. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints (IEEE Transactions on Evolutionary Computation)
  7. No free lunch theorems for optimization
  8. An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach (IEEE Transactions on Evolutionary Computation)
  9. Reference point based multi-objective optimization using evolutionary algorithms (Annual Conference on Genetic and Evolutionary Computation)
  10. Genetic Algorithms in Search Optimization and Machine Learning

Their papers