Dan Guo

Computational Theory and Mathematics · with Chugh · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 25 citations into it; #12,099 of 12,182 by trust here, #10,349 by citations
• Artificial Intelligence — 24 citations into it; #34,998 of 35,345 by trust here, #32,362 by citations

Whom Dan Guo trusts overall

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

1. Yaochu Jin
2. Handing Wang
3. Alexander I. J. Forrester
4. Qingfu Zhang
5. Kalyanmoy Deb
6. Michael L. Stein
7. Tinkle Chugh

Who trusts Dan Guo overall

1. Yaochu Jin

Papers from Dan Guo's perspective

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

1. A fast and elitist multiobjective genetic algorithm: NSGA-II
2. A framework for evolutionary optimization with approximate fitness functions (IEEE Transactions on Evolutionary Computation)
3. ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems (IEEE Transactions on Evolutionary Computation)
4. Efficient Global Optimization of Expensive Black-Box Functions
5. Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels (IEEE Transactions on Evolutionary Computation)
6. Multi-fidelity optimization via surrogate modelling
7. Ensemble of surrogates
8. Evolutionary optimization in uncertain environments-a survey (IEEE Transactions on Evolutionary Computation)
9. Taking the Human Out of the Loop: A Review of Bayesian Optimization
10. Surrogate-assisted evolutionary computation: Recent advances and future challenges

Their papers

• Data-Driven Evolutionary Optimization: An Overview and Case Studies (2019) — 582 citations