Kenneth De Jong
Artificial Intelligence · 1992–2005
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Computational Theory and Mathematics — 9 citations into it
Whom Kenneth De Jong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John H. Holland
- Carlos Artemio Coello Coello
- David E. Goldberg
- Thomas Bäck
- Kalyanmoy Deb
- Z. Michalewicz
- R. May
- Franz Rothlauf
- Hans-Paul Schwefel
Who trusts Kenneth De Jong overall
- Jun Zhang
- Frans van den Bergh
- Ke Tang
- Liviu Panait
- Zhenyu Yang
- Yaochu Jin
- Andries Petrus Engelbrecht
- Thomas Miconi
- Z. Michalewicz
- Ran Cheng
Papers from Kenneth De Jong's perspective
Ordered by how strongly the researchers Kenneth De Jong trusts endorse each paper. Same corpus, a different order for every researcher.
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Genetic Algorithms in Search Optimization and Machine Learning
- Genetic Programming: On the Programming of Computers by Means of Natural Selection
- An Efficient Constraint Handling Method for Genetic Algorithms
- Artificial Intelligence through Simulated Evolution
- Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution
- Multi-objective optimization using evolutionary algorithms
- Genetic Algorithms + Data Structures = Evolution Programs
- Evolutionary Algorithms for Solving Multi-Objective Problems
- A Cooperative Coevolutionary Approach to Function Optimization
Their papers
- Evolutionary computation and structural design: A survey of the state-of-the-art (2005) — 443 citations
- Evolutionary Feature Space Transformation (1998)
- A Cooperative Coevolutionary Approach to Function Optimization (1994)
- Are Genetic Algorithms Function Optimizers? (1992)
- Genetic algorithms as a tool for feature selection in machine learning (1992)