Charles Audet
Computational Theory and Mathematics · 2000–2018
A researcher in the Science corpus: 9 papers; trusts 13 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 37 citations into it; #518 of 12,182 by trust here, #1,269 by citations
- Artificial Intelligence — 20 citations into it; #5,233 of 35,345 by trust here, #15,542 by citations
- Numerical Analysis — 18 citations into it; #153 of 3,586 by trust here, #320 by citations
- Computational Mechanics — 6 citations into it
- Control and Systems Engineering — 6 citations into it
- Civil and Structural Engineering — 5 citations into it; #1,325 of 6,160 by trust here, #4,007 by citations
Whom Charles Audet trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roger Fletcher
- N. Gould
- Eckart Zitzler
- John E. Dennis Jr.
- Claude E. Shannon
- Daniel E. Finkel
- Joshua D. Knowles
- Thomas Bäck
- Sven Leyffer
- Robert Michael Lewis
Who trusts Charles Audet overall
- Mark A. Abramson
- Obiajulu J. Isebor
- Holger H. Hoos
- M. Sasena
- Yuri Malitsky
- Louis J. Durlofsky
- Luís Nunes Vicente
- Sébastien Le Digabel
- Luis Miguel Rios
- S. Shan
Papers from Charles Audet's perspective
Ordered by how strongly the researchers Charles Audet trusts endorse each paper. Same corpus, a different order for every researcher.
- Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- On metrics for comparing nondominated sets (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
- The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration (International Conference on Evolutionary Multi-Criterion Optimization)
- Nonlinear programming without a penalty function (Mathematical programming)
- Numerical methods for unconstrained optimization and nonlinear equations
- The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
- Mesh Adaptive Direct Search Algorithms for Constrained Optimization
- Large sample properties of simulations using latin hypercube sampling
- Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms
Their papers
- A surrogate-model-based method for constrained optimization (2000) — 238 citations
- Finding Optimal Algorithmic Parameters Using Derivative-Free Optimization (2006) — 148 citations
- A Pattern Search Filter Method for Nonlinear Programming without Derivatives (2001) — 326 citations
- Mesh Adaptive Direct Search Algorithms for Constrained Optimization (2006) — 1,371 citations
- Blackbox and derivative-free optimization: theory, algorithms and applications (2016) — 62 citations
- Mixed Variable Optimization of the Number and Composition of Heat Intercepts in a Thermal Insulation System (2001) — 88 citations
- Performance indicators in multiobjective optimization (2018) — 468 citations
- Derivative-Free and Blackbox Optimization (2017) — 526 citations
- Essays and surveys in global optimization (2005) — 83 citations