Genetic Programming and Evolvable Machines

Công bố khoa học tiêu biểu

* Dữ liệu chỉ mang tính chất tham khảo

Sắp xếp:  
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
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
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
Erratum to: Stochastic optimization of a biologically plausible spino-neuromuscular system model
Genetic Programming and Evolvable Machines - Tập 12 - Trang 87-88 - 2010
Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule, Richard Wells
Parallel linear genetic programming for multi-class classification
Genetic Programming and Evolvable Machines - Tập 13 - Trang 275-304 - 2012
Carlton Downey, Mengjie Zhang, Jing Liu
Motivated by biological inspiration and the issue of instruction disruption, we develop a new form of Linear Genetic Programming (LGP) called Parallel LGP (PLGP) for classification problems. PLGP programs consist of multiple lists of instructions. These lists are executed in parallel after which the resulting vectors are combined to produce the classification result. PLGP limits the disruptive eff...... hiện toàn bộ
An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data
Genetic Programming and Evolvable Machines - Tập 5 - Trang 157-179 - 2004
Janaína S. de Sousa, Lalinka de C. T. Gomes, George B. Bezerra, Leandro N. de Castro, Fernando J. Von Zuben
Microarray technologies are employed to simultaneously measure expression levels of thousands of genes. Data obtained from such experiments allow inference of individual gene functions, help to identify genes from specific tissues, to analyze the behavior of gene expression levels under various environmental conditions and under different cell cycle stages, and to identify inappropriately transcri...... hiện toàn bộ
Tổng số: 440   
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 10