What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Algorithm
His scientific interests lie mostly in Genetic programming, Artificial intelligence, Theoretical computer science, Symbolic regression and Genetic representation.
He works in the field of Genetic programming, namely Automatically defined functions.
His study in the field of Crossover also crosses realms of System identification.
In Theoretical computer science, he works on issues like Genetic algorithm, which are connected to Artificial neural network.
His work in Symbolic regression covers topics such as Linear genetic programming which are related to areas like Evolutionary music, Grammatical evolution, Java Evolutionary Computation Toolkit and Evolutionary computation.
John R. Koza frequently studies issues relating to Lisp and Genetic representation.
His most cited work include:
- Genetic Programming: On the Programming of Computers by Means of Natural Selection (10908 citations)
- Genetic Programming II: Automatic Discovery of Reusable Programs (1723 citations)
- Genetic Programming III: Darwinian Invention and Problem Solving (763 citations)
What are the main themes of his work throughout his whole career to date?
John R. Koza focuses on Genetic programming, Artificial intelligence, Theoretical computer science, Topology and Computer program.
John R. Koza is interested in Genetic representation, which is a field of Genetic programming.
His research in Artificial intelligence intersects with topics in Software engineering, Machine learning and Automatic programming.
He focuses mostly in the field of Theoretical computer science, narrowing it down to matters related to Routing and, in some cases, Placement.
His studies in Topology integrate themes in fields like Control engineering, Control theory, Structure, Topology and Electronic engineering.
As part of the same scientific family, John R. Koza usually focuses on Computer program, concentrating on Subroutine and intersecting with Arithmetic function and Algorithm.
He most often published in these fields:
- Genetic programming (80.57%)
- Artificial intelligence (28.57%)
- Theoretical computer science (21.14%)
What were the highlights of his more recent work (between 2002-2011)?
- Genetic programming (80.57%)
- Artificial intelligence (28.57%)
- Electrical network (14.29%)
In recent papers he was focusing on the following fields of study:
John R. Koza mostly deals with Genetic programming, Artificial intelligence, Electrical network, Theoretical computer science and Topology.
His Genetic programming research incorporates elements of Programming language, Field, Evolutionary computation, Analogue electronics and Crossover.
His Artificial intelligence study also includes
- Machine learning that connect with fields like Obstacle,
- Software engineering, which have a strong connection to Symbolic regression,
- Extension most often made with reference to Genetic algorithm.
His Electrical network study incorporates themes from Classifier, Real-time computing and Computer engineering.
His work carried out in the field of Theoretical computer science brings together such families of science as Routing, Parameterized complexity, Computer program, Cellular automaton and Automatically defined functions.
His studies deal with areas such as Statement, Structure, Topology, Algorithm and Component as well as Topology.
Between 2002 and 2011, his most popular works were:
- Genetic Programming IV: Routine Human-Competitive Machine Intelligence (574 citations)
- Human-competitive results produced by genetic programming (229 citations)
- Genetic Programming: An Introduction and Tutorial, with a Survey of techniques and Applications (135 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Algorithm
John R. Koza mainly investigates Genetic programming, Artificial intelligence, Theoretical computer science, Evolutionary computation and Parameterized complexity.
His Genetic programming research integrates issues from Computer engineering, Electrical network, Field, Genetic algorithm and Analogue electronics.
His work is dedicated to discovering how Artificial intelligence, Inductive programming are connected with Automatic programming and other disciplines.
John R. Koza studied Theoretical computer science and Cellular automaton that intersect with Pattern matching and Assembly language.
A large part of his Evolutionary computation studies is devoted to Genetic representation.
His research integrates issues of Machine learning and Linear genetic programming in his study of Software engineering.
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