Genetic Programming and Evolvable Machines

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Vector quantization using the improved differential evolution algorithm for image compression
Genetic Programming and Evolvable Machines - - 2019
Sayan Nag
Biomimetic Representation with Enzyme Genetic Programming
Genetic Programming and Evolvable Machines - Tập 3 - Trang 315-315 - 2002
Michael A. Lones, Andy M. Tyrrell
Editorial introduction
Genetic Programming and Evolvable Machines - Tập 16 - Trang 1-2 - 2015
Lee Spector
Software review: CGP-Library
Genetic Programming and Evolvable Machines - Tập 18 - Trang 279-281 - 2017
Emerson Carlos Pedrino, Paulo Cesar Donizeti Paris, Denis Pereira de Lima, Valentin Obac Roda
CGP-Library is an open-source, cross-platform written in C which implements Cartesian Genetic Programming (CGP) and its variations. It solves both academic and real-world problems. Since its inicial release, it has undergone some refinements, and it is without doubt the best supported toolkit for CGP. In this article it is presented a critical assessment of the CGP-Library features, its main stren... hiện toàn bộ
Driving as a human: a track learning based adaptable architecture for a car racing controller
Genetic Programming and Evolvable Machines - Tập 15 Số 4 - Trang 433-476 - 2014
Jan Quadflieg, Mike Preuß, Günter Rudolph
Editorial introduction to the special issue on developmental systems
Genetic Programming and Evolvable Machines - - 2007
Gregory S. Hornby, Sanjeev Kumar, Christian Jacob
The evolution of higher-level biochemical reaction models
Genetic Programming and Evolvable Machines - Tập 13 Số 1 - Trang 3-31 - 2012
Ross, Brian J.
Computational tools for analyzing biochemical phenomena are becoming increasingly important. Recently, high-level formal languages for modeling and simulating biochemical reactions have been proposed. These languages make the formal modeling of complex reactions accessible to domain specialists outside of theoretical computer science. This research explores the use of genetic programming to automa... hiện toàn bộ
Introduction to special issue on highlights of genetic programming 2022 events
Genetic Programming and Evolvable Machines - - 2024
Domagoj Jakobović, Eric Medvet, Gisele L. Pappa, Leonardo Trujillo
Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation
Genetic Programming and Evolvable Machines - Tập 23 - Trang 225-252 - 2022
Daniel Varela, José Santos
Protein folding is the dynamic process by which a protein folds into its final native structure. This is different to the traditional problem of the prediction of the final protein structure, since it requires a modeling of how protein components interact over time to obtain the final folded structure. In this study we test whether a model of the folding process can be obtained exclusively through... hiện toàn bộ
Prudent alignment and crossover of decision trees in genetic programming
Genetic Programming and Evolvable Machines - Tập 16 - Trang 499-530 - 2015
Matej Šprogar
Crossover is the central search operator responsible for navigating through unknown problem landscapes while at the same time the main conservation operator, which is supposed to preserve the already learned lessons. This paper is about a novel homologous decision tree crossover operator. Contrary to other tree crossover operators it defines the context for a decision tree node and elaborates a fa... hiện toàn bộ
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