GE, explosive grammars and the lasting legacy of bad initialisation
R Harper - IEEE Congress on Evolutionary Computation, 2010 - ieeexplore.ieee.org
This paper explores some of the initialisation schemes that can be used to create the starting
population of a Grammatical Evolution (GE) run. It investigates why two typical initialisation …
population of a Grammatical Evolution (GE) run. It investigates why two typical initialisation …
Genome-wide genetic analysis using genetic programming: The critical need for expert knowledge
JH Moore, BC White - Genetic programming theory and practice IV, 2007 - Springer
Human genetics is undergoing an information explosion. The availability of chip-based
technology facilitates the measurement of thousands of DNA sequence variation from across …
technology facilitates the measurement of thousands of DNA sequence variation from across …
On the avoidance of fruitless wraps in grammatical evolution
Grammatical Evolution (GE) is an evolutionary system that employs variable length linear
chromosomes to represent computer programs. GE uses the individuals to produce …
chromosomes to represent computer programs. GE uses the individuals to produce …
[PS][PS] Indexed Bibliography of Genetic {\BL} Programming
JT Alander - Adaptive Behavior, 1997 - gpbib.pmacs.upenn.edu
An Indexed Bibliography of Genetic Programming Page 1 An Indexed Bibliography of Genetic
Programming compiled by Jarmo T. Alander Dedicated to John Koza Department of Electrical …
Programming compiled by Jarmo T. Alander Dedicated to John Koza Department of Electrical …
[HTML][HTML] Towards real-time interest point detection and description for mobile and robotic devices
Abstract Convolutional Neural Networks (CNNs) have been successfully adopted by state-of-
the-art feature point detection and description networks for the past number of years. The …
the-art feature point detection and description networks for the past number of years. The …
Grammatical evolution as a hyper-heuristic to evolve deterministic real-valued optimization algorithms
Hyper-heuristic methodologies have been extensively and successfully used to generate
combinatorial optimization heuristics. On the other hand, there have been almost no …
combinatorial optimization heuristics. On the other hand, there have been almost no …
[PDF][PDF] Indexed bibliography of genetic algorithms theory and comparisons
JT Alander - 1995 - researchgate.net
An Indexed Bibliography of Genetic Algorithms Theory and Comparisons Page 1 An Indexed
Bibliography of Genetic Algorithms Theory and Comparisons compiled by Jarmo T. Alander …
Bibliography of Genetic Algorithms Theory and Comparisons compiled by Jarmo T. Alander …
Automatic Grammatical Evolution-Based Optimization of Matrix Factorization Algorithm
Nowadays, recommender systems are vital in lessening the information overload by filtering
out unnecessary information, thus increasing comfort and quality of life. Matrix factorization …
out unnecessary information, thus increasing comfort and quality of life. Matrix factorization …
Evolving security policies
YT Lim - 2010 - etheses.whiterose.ac.uk
As computer system size and complexity grow, formulating effective policies require more
sophistication. There are many risk factors that need to be considered, some of which may …
sophistication. There are many risk factors that need to be considered, some of which may …
[PDF][PDF] Indexed bibliography of genetic algorithm implementations
JT Alander - 1994 - researchgate.net
An Indexed Bibliography of Genetic Algorithm Implementations Page 1 An Indexed Bibliography
of Genetic Algorithm Implementations compiled by Jarmo T. Alander Department of Electrical …
of Genetic Algorithm Implementations compiled by Jarmo T. Alander Department of Electrical …