Tinkle Chugh

Computational Theory and Mathematics · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tinkle Chugh trusts overall

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

  1. Yaochu Jin
  2. Kalyanmoy Deb
  3. Qingfu Zhang
  4. Ran Cheng
  5. Joshua D. Knowles
  6. Alexander I. J. Forrester
  7. Handing Wang
  8. Nikolaus Hansen
  9. Kaisa Miettinen
  10. Hui Li

Who trusts Tinkle Chugh overall

  1. Handing Wang
  2. Yaochu Jin
  3. Ye Tian
  4. John James Doherty
  5. Yanan Sun
  6. Linqiang Pan
  7. Chaoli Sun
  8. Ran Cheng
  9. Xing-yi Zhang
  10. Hangyu Zhu

Papers from Tinkle Chugh's perspective

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

  1. A fast and elitist multiobjective genetic algorithm: NSGA-II
  2. Multi-objective optimization using evolutionary algorithms
  3. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition (IEEE Transactions on Evolutionary Computation)
  4. Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
  5. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  6. Nonlinear multiobjective optimization
  7. 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)
  8. Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels (IEEE Transactions on Evolutionary Computation)
  9. ImageNet classification with deep convolutional neural networks
  10. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)

Their papers