Exploration and exploitation in evolutionary algorithms: A survey
“Exploration and exploitation are the two cornerstones of problem solving by search.” For
more than a decade, Eiben and Schippers' advocacy for balancing between these two …
more than a decade, Eiben and Schippers' advocacy for balancing between these two …
[PDF][PDF] Global optimization algorithms-theory and application
T Weise - Self-Published Thomas Weise, 2009 - researchgate.net
This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …
solutions for given problems. It especially focuses on Evolutionary Computation by …
A multi-facet survey on memetic computation
Memetic computation is a paradigm that uses the notion of meme (s) as units of information
encoded in computational representations for the purpose of problem-solving. It covers a …
encoded in computational representations for the purpose of problem-solving. It covers a …
Diversity in genetic programming: An analysis of measures and correlation with fitness
Examines measures of diversity in genetic programming. The goal is to understand the
importance of such measures and their relationship with fitness. Diversity methods and …
importance of such measures and their relationship with fitness. Diversity methods and …
A survey of semantic methods in genetic programming
Several methods to incorporate semantic awareness in genetic programming have been
proposed in the last few years. These methods cover fundamental parts of the evolutionary …
proposed in the last few years. These methods cover fundamental parts of the evolutionary …
[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 …
Rethinking symbolic regression datasets and benchmarks for scientific discovery
This paper revisits datasets and evaluation criteria for Symbolic Regression (SR),
specifically focused on its potential for scientific discovery. Focused on a set of formulas …
specifically focused on its potential for scientific discovery. Focused on a set of formulas …
A multiple diversity-driven brain storm optimization algorithm with adaptive parameters
Brain storm optimization (BSO) is a swarm intelligence optimization algorithm which is
proven to have practical values in various fields. During these years, many modifications …
proven to have practical values in various fields. During these years, many modifications …
On improving genetic programming for symbolic regression
This paper reports an improvement to genetic programming (GP) search for the symbolic
regression domain, based on an analysis of dissimilarity and mating. GP search is generally …
regression domain, based on an analysis of dissimilarity and mating. GP search is generally …
Population diversity and inheritance in genetic programming for symbolic regression
In this work we aim to empirically characterize two important dynamical aspects of GP
search: the evolution of diversity and the propagation of inheritance patterns. Diversity is …
search: the evolution of diversity and the propagation of inheritance patterns. Diversity is …