Results 41 to 50 of about 116,877 (316)

Dynamic environments can speed up evolution with genetic programming

, 2011
We present a study of dynamic environments with genetic programming to ascertain if a dynamic environment can speed up evolution when compared to an equivalent static environment.
Miguel Nicolau, Michael O'Neill, Anthony Brabazon, O\u27Neill, Michael, O'Neill, Michael, Brabazon, Anthony, Nicolau, Miguel   +6 more
core   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

Analysis and prediction of carbon emission factors based on genetic programming

Results in Engineering
In recent years, frequent extreme weather events such as storms and floods globally have made carbon emission reduction a critical issue for addressing environmental challenges through sustainable green pathways.
Wenchao Pan, Tsungxian Lin, Tzuhsiung Lin, Qilin Du, Lili Wu, Qinyi Lin   +5 more
doaj   +1 more source

Estimation Models Generation using Linear Genetic Programming

CLEI Electronic Journal, 2009
The use of decision rules and estimation techniques is increasingly common for decision mak- ing. In recent years studies were conducted which applies Genetic Programming (GP) to obtain rules to make predictions.
Javier Martínez Canillas, Roberto Sánchez, Benjamín Barán   +2 more
doaj   +1 more source

A Genetic Programming-Driven Data Fitting Method

IEEE Access, 2020
Data fitting is the process of constructing a curve, or a set of mathematical functions, that has the best fit to a series of data points. Different with constructing a fitting model from same type of function, such as the polynomial model, we notice ...
Hao Chen, Zi Yuan Guo, Hong Bai Duan, Duo Ban   +3 more
doaj   +1 more source

Imperative Genetic Programming

Symmetry
Genetic programming (GP) has a long-standing tradition in the evolution of computer programs, predominantly utilizing tree and linear paradigms, each with distinct advantages and limitations. Despite the rapid growth of the GP field, there have been disproportionately few attempts to evolve ’real’ Turing-like imperative programs (as contrasted with ...
Iztok Fajfar, Ziga Rojec, Árpád Bürmen, Matevz Kunaver, Tadej Tuma, Saso Tomazic, Janez Puhan   +6 more
openaire   +3 more sources

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

On using surrogates with genetic programming [PDF]

, 2014
One way to accelerate evolutionary algorithms with expensive fitness evaluations is to combine them with surrogate models. Surrogate models are efficiently computable approximations of the fitness function, derived by means of statistical or machine ...
Branke, Jürgen, Hildebrandt, Torsten
core   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

A rigorous evaluation of crossover and mutation in genetic programming [PDF]

, 2009
The role of crossover and mutation in Genetic Programming (GP) has been the subject of much debate since the emergence of the field. In this paper, we contribute new empirical evidence to this argument using a rigorous and principled experimental method ...
David R. White, White, D.R., Poulding, S., Simon Poulding   +3 more
core   +1 more source