Results 31 to 40 of about 2,832,903 (299)
Zoetrope genetic programming for regression [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference, 2021 The Zoetrope Genetic Programming (ZGP) algorithm is based on an original representation for mathematical expressions, targeting evolutionary symbolic regression.The zoetropic representation uses repeated fusion operations between partial expressions, starting from the terminal set.
Aurélie Boisbunon +5 more
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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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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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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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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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Open Computer Science, 2014 Abstract We present evolutionary approach to program development based on absorption of genetic strings at different metalevels. Introducing the principles of software evolution as processes of semantical stability, expansion and contraction, we continue with an example illustrating how it is possible to integrate metalevel with base ...
Ján Kollár, Emília Pietriková
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Polytypic Genetic Programming [PDF]
, 2017 Program synthesis via heuristic search often requires a great deal of ‘boilerplate’ code to adapt program APIs to the search mechanism. In addition, the majority of existing approaches are not type-safe: i.e. they can fail at runtime because the search mechanisms lack the strict type information often available to the compiler.
Jerry Swan +2 more
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Evolving hash functions by means of genetic programming [PDF]
, 2006 Proceedings of the 8th annual conference on Genetic and evolutionary computation. Seattle, Washington, USA, July 08-12, 2006The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use
Ribagorda Garnacho, Arturo +10 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
EpochX: Genetic Programming in Java with Statistics and Event Monitoring [PDF]
, 2012 EpochX is a Genetic Programming (GP) framework written in Java. It allows the creation of tree-based and grammar-based GP systems. It has been created to reflect typical ways in which Java programmers work, for example, borrowing from the Java event ...
Colin Johnson +5 more
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