Genetic Programming and Evolvable Machines

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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
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
Hardware architecture of the Protein Processing Associative Memory and the effects of dimensionality and quantisation on performance
Genetic Programming and Evolvable Machines - Tập 15 - Trang 245-274 - 2014
Omer Qadir, Alex Lenz, Gianluca Tempesti, Jon Timmis, Tony Pipe, Andy Tyrrell
The Protein Processor Associative Memory (PPAM) is a novel hardware architecture for a distributed, decentralised, robust and scalable, bidirectional, hetero-associative memory, that can adapt online to changes in the training data. The PPAM uses the location of data in memory to identify relationships and is therefore fundamentally different from traditional processing methods that tend to use ar...... hiện toàn bộ
Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings
Genetic Programming and Evolvable Machines - - 2007
Garnett Wilson, Malcolm Heywood
Developmental Genetic Programming (DGP) algorithms have explicitly required the search space for a problem to be divided into genotypes and corresponding phenotypes. The two search spaces are often connected with a genotype-phenotype mapping (GPM) intended to model the biological genetic code, where current implementations of this concept involve evolution of the mappings along with evolution of t...... hiện toàn bộ
Locally geometric semantic crossover: a study on the roles of semantics and homology in recombination operators
Genetic Programming and Evolvable Machines - Tập 14 - Trang 31-63 - 2012
Krzysztof Krawiec, Tomasz Pawlak
This study presents an extensive account of Locally Geometric Semantic Crossover (LGX), a semantically-aware recombination operator for genetic programming (GP). LGX is designed to exploit the semantic properties of programs and subprograms, in particular the geometry of semantic space that results from distance-based fitness functions used predominantly in GP. When applied to a pair of parents, L...... hiện toàn bộ
Interactive evolution for cochlear implants fitting
Genetic Programming and Evolvable Machines - Tập 8 - Trang 319-354 - 2007
Pierrick Legrand, Claire Bourgeois-Republique, Vincent Péan, Esther Harboun-Cohen, Jacques Levy-Vehel, Bruno Frachet, Evelyne Lutton, Pierre Collet
Cochlear implants (CI) are devices that become more and more sophisticated and adapted to the need of patients, but at the same time they become more and more difficult to parameterize. After a deaf patient has been surgically implanted, a specialised medical practitioner has to spend hours during months to precisely fit the implant to the patient. This process is a complex one implying two intert...... hiện toàn bộ
Genetic programming for iterative numerical methods
Genetic Programming and Evolvable Machines - - 2022
Dominik Sobania, Jonas Schmitt, Harald Köstler, Franz Rothlauf
AbstractWe introduce GPLS (Genetic Programming for Linear Systems) as a GP system that finds mathematical expressions defining an iteration matrix. Stationary iterative methods use this iteration matrix to solve a system of linear equations numerically. GPLS aims at finding iteration matrices with a low spectral radius and a high sparsity, since these properties en...... hiện toàn bộ
An enhanced Huffman-PSO based image optimization algorithm for image steganography
Genetic Programming and Evolvable Machines - Tập 22 - Trang 189-205 - 2021
Neha Sharma, Usha Batra
It is crucial in the field of image steganography to find an algorithm for hiding information by using various combinations of compression techniques. The primary factors in this research are maximizing the capacity and improving the quality of the image. The image quality cannot be compromised up to a certain level as it breaks the concept of steganography by getting distorted visibly. The second...... hiện toàn bộ
Long memory time series forecasting by using genetic programming
Genetic Programming and Evolvable Machines - Tập 12 - Trang 429-456 - 2011
Emiliano Carreño Jara
Real-world time series have certain properties, such as stationarity, seasonality, linearity, among others, which determine their underlying behaviour. There is a particular class of time series called long-memory processes, characterized by a persistent temporal dependence between distant observations, that is, the time series values depend not only on recent past values but also on observations ...... hiện toàn bộ
A new real-coded Bayesian optimization algorithm based on a team of learning automata for continuous optimization
Genetic Programming and Evolvable Machines - Tập 15 - Trang 169-193 - 2013
Behnaz Moradabadi, Hamid Beigy
Estimation of distribution algorithms have evolved as a technique for estimating population distribution in evolutionary algorithms. They estimate the distribution of the candidate solutions and then sample the next generation from the estimated distribution. Bayesian optimization algorithm is an estimation of distribution algorithm, which uses a Bayesian network to estimate the distribution of ca...... hiện toàn bộ
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