A survey of genetic programming and its applications

MT Ahvanooey, Q Li, M Wu, S Wang - KSII Transactions on Internet …, 2019‏ - koreascience.kr
Genetic Programming (GP) is an intelligence technique whereby computer programs are
encoded as a set of genes which are evolved utilizing a Genetic Algorithm (GA). In other …

A survey on nature-inspired medical image analysis: a step further in biomedical data integration

L Rundo, C Militello, S Vitabile, G Russo… - Fundamenta …, 2020‏ - content.iospress.com
Natural phenomena and mechanisms have always intrigued humans, inspiring the design of
effective solutions for real-world problems. Indeed, fascinating processes occur in nature …

From ants to whales: metaheuristics for all tastes

F Fausto, A Reyna-Orta, E Cuevas, ÁG Andrade… - Artificial Intelligence …, 2020‏ - Springer
Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …

Prediction of energy performance of residential buildings: A genetic programming approach

M Castelli, L Trujillo, L Vanneschi, A Popovič - Energy and Buildings, 2015‏ - Elsevier
Energy consumption has long been emphasized as an important policy issue in today's
economies. In particular, the energy efficiency of residential buildings is considered a top …

Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving

R Boldi, M Briesch, D Sobania, A Lale**i… - Evolutionary …, 2024‏ - direct.mit.edu
Genetic Programming (GP) often uses large training sets and requires all individuals to be
evaluated on all training cases during selection. Random down-sampled lexicase selection …

A Probabilistic and Multi-Objective Analysis of Lexicase Selection and -Lexicase Selection

W La Cava, T Helmuth, L Spector… - Evolutionary …, 2019‏ - direct.mit.edu
Lexicase selection is a parent selection method that considers training cases individually,
rather than in aggregate, when performing parent selection. Whereas previous work has …

Predicting burned areas of forest fires: an artificial intelligence approach

M Castelli, L Vanneschi, A Popovič - Fire ecology, 2015‏ - Springer
Forest fires importantly influence our environment and lives. The ability of accurately
predicting the area that may be involved in a forest fire event may help in optimizing fire …

A semantic-based hoist mutation operator for evolutionary feature construction in regression

H Zhang, Q Chen, B Xue, W Banzhaf… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
In recent years, genetic programming (GP) has achieved impressive results on evolutionary
feature construction tasks. To increase search effectiveness, researchers have developed …

Semantic schema based genetic programming for symbolic regression

Z Zojaji, MM Ebadzadeh, H Nasiri - Applied Soft Computing, 2022‏ - Elsevier
Despite the empirical success of Genetic programming (GP) in various symbolic regression
applications, GP is not still known as a reliable problem-solving technique in this domain …

[کتاب][B] Lectures on intelligent systems

L Vanneschi, S Silva - 2023‏ - Springer
Computer science is the science that deals with the treatment of information by means of
automatic procedures. It has multiple objectives, including the study of computation at a …