Jinliang Ding

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jinliang Ding trusts overall

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

  1. Yaochu Jin
  2. Joshua D. Knowles
  3. Chia-Feng Juang
  4. Ran Cheng

Who trusts Jinliang Ding overall

  1. Handing Wang

Papers from Jinliang Ding's perspective

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

  1. ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems (IEEE Transactions on Evolutionary Computation)
  2. A framework for evolutionary optimization with approximate fitness functions (IEEE Transactions on Evolutionary Computation)
  3. Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model (IEEE Transactions on Evolutionary Computation)
  4. Ieee Transactions on Systems, Man and Cybernetics 1 Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization
  5. Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
  6. Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling
  7. Multiobjective Optimization on a Limited Budget of Evaluations Using Model-Assisted -Metric Selection (Parallel Problem Solving from Nature)
  8. A new optimizer using particle swarm theory
  9. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions (IEEE Transactions on Evolutionary Computation)
  10. A hybrid of genetic algorithm and particle swarm optimization for recurrent network design

Their papers