Joseph R. Kasprzyk
Artificial Intelligence · 2012–2018
A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 57 citations into it
- Computational Theory and Mathematics — 57 citations into it
- Civil and Structural Engineering — 29 citations into it
- Ocean Engineering — 23 citations into it
- Statistics and Probability — 15 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Building and Construction — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Joseph R. Kasprzyk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jasper A. Vrugt
- Kalyanmoy Deb
- Alfred Inselberg
- Leo Breiman
- I-Cheng Yeh
- Jui-Sheng Chou
- Patrick M. Reed
- Bruce A. Robinson
- Joshua D. Knowles
- David E. Goldberg
Who trusts Joseph R. Kasprzyk overall
Papers from Joseph R. Kasprzyk's perspective
Ordered by how strongly the researchers Joseph R. Kasprzyk trusts endorse each paper. Same corpus, a different order for every researcher.
- No free lunch theorems for optimization
- The Design of Innovation: Lessons from and for Competent Genetic Algorithms
- Decisions with Multiple Objectives: Preferences and Value Trade-Offs
- A comprehensive survey of fitness approximation in evolutionary computation (Soft Computing - A Fusion of Foundations, Methodologies and Applications)
- Improved evolutionary optimization from genetically adaptive multimethod search (Proceedings of the National Academy of Sciences of the United States of America)
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
- ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems (IEEE Transactions on Evolutionary Computation)
- Running performance metrics for evolutionary multi-objective optimizations
- A manifesto for the equifinality thesis
- Introducing Robustness in Multi-Objective Optimization (Evolutionary Computation)
Their papers
- Evolutionary multiobjective optimization in water resources: The past, present, and future (2012) — 544 citations
- Many objective robust decision making for complex environmental systems undergoing change (2012) — 499 citations
- Computational design optimization of concrete mixtures: A review (2018) — 326 citations
- Battling Arrow’s Paradox to Discover Robust Water Management Alternatives (2016) — 46 citations
- Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (2014) — 596 citations