Contemporary quantum computing use cases: taxonomy, review and challenges
Recently, the popularity of using the expressive power of quantum computing to solve
known, challenging problems has increased remarkably. This study aims to develop a clear …
known, challenging problems has increased remarkably. This study aims to develop a clear …
Genetic programming as a means for programming computers by natural selection
JR Koza - Statistics and computing, 1994 - Springer
Many seemingly different problems in machine learning, artificial intelligence, and symbolic
processing can be viewed as requiring the discovery of a computer program that produces …
processing can be viewed as requiring the discovery of a computer program that produces …
Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming: Lulu. com, 2008, 250 pp, ISBN 978-1-4092-0073-4
M O'Neill - 2009 - Springer
The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …
Human-competitive results produced by genetic programming
JR Koza - Genetic programming and evolvable machines, 2010 - Springer
Genetic programming has now been used to produce at least 76 instances of results that are
competitive with human-produced results. These human-competitive results come from a …
competitive with human-produced results. These human-competitive results come from a …
Quantum-inspired evolutionary algorithms: a survey and empirical study
G Zhang - Journal of Heuristics, 2011 - Springer
Quantum-inspired evolutionary algorithms, one of the three main research areas related to
the complex interaction between quantum computing and evolutionary algorithms, are …
the complex interaction between quantum computing and evolutionary algorithms, are …
Drastic circuit depth reductions with preserved adversarial robustness by approximate encoding for quantum machine learning
Quantum machine learning (QML) is emerging as an application of quantum computing with
the potential to deliver quantum advantage, but its realization for practical applications …
the potential to deliver quantum advantage, but its realization for practical applications …
[BOOK][B] Automatic Quantum Computer Programming: a genetic programming approach
L Spector - 2004 - books.google.com
Automatic Quantum Computer Programming provides an introduction to quantum computing
for non-physicists, as well as an introduction to genetic programming for non-computer …
for non-physicists, as well as an introduction to genetic programming for non-computer …
A quantum inspired gravitational search algorithm for numerical function optimization
Gravitational search algorithm (GSA) is a swarm intelligence optimization algorithm that
shares many similarities with evolutionary computation techniques. However, the GSA is …
shares many similarities with evolutionary computation techniques. However, the GSA is …
Automatic creation of human-competitive programs and controllers by means of genetic programming
JR Koza, MA Keane, J Yu, FH Bennett… - … and Evolvable Machines, 2000 - Springer
Genetic programming is an automatic method for creating a computer program or other
complex structure to solve a problem. This paper first reviews various instances where …
complex structure to solve a problem. This paper first reviews various instances where …
Genetic programming: An introduction and tutorial, with a survey of techniques and applications
The goal of having computers automatically solve problems is central to artificial
intelligence, machine learning, and the broad area encompassed by what Turing called …
intelligence, machine learning, and the broad area encompassed by what Turing called …