Results 21 to 30 of about 92,765 (267)
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming [PDF]
, 2008 Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for constructing a directed acyclic graph (DAG) from a classical LGP instruction sequence has been established.
Garnett Carl Wilson, Wolfgang Banzhaf
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Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
Algorithms, 2023 At present, synthetic biology applications are based on the programming of synthetic bacteria with custom-designed genetic circuits through the application of a top-down strategy. These genetic circuits are the programs that implement a certain algorithm,
Sara Lledó Villaescusa +1 more
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NNC: A tool based on Grammatical Evolution for data classification and differential equation solving
SoftwareX, 2019 A genetic programming tool is demonstrated for data classification and differential equation solving. The fundamental element of the method is the well-known technique of Grammatical Evolution.
Ioannis G. Tsoulos +2 more
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On Comprehension of Genetic Programming Solutions: A Controlled Experiment on Semantic Inference
Mathematics, 2022 Applied to the problem of automatic program generation, Genetic Programming often produces code bloat, or unexpected solutions that are, according to common belief, difficult to comprehend.
Boštjan Slivnik +3 more
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Revisiting Genetic Network Programming (GNP): Towards the Simplified Genetic Operators
IEEE Access, 2018 Genetic network programming (GNP) is a relatively new type of graph-based evolutionary algorithm, which designs a directed graph structure for its individual representation.
Xianneng Li, Huiyan Yang, Meihua Yang
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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 +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
A comparison of machine learning techniques for survival prediction in breast cancer
BioData Mining, 2011 Background The ability to accurately classify cancer patients into risk classes, i.e. to predict the outcome of the pathology on an individual basis, is a key ingredient in making therapeutic decisions.
Vanneschi Leonardo +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Fertility preservation (FP) is increasingly integrated into the care of pediatric patients exposed to gonadotoxic therapy or conditioning for hematopoietic stem cell transplantation (HSCT), yet perioperative data in infants and toddlers remain scarce.
Kerstin Saalabian +13 more
wiley +1 more source