Genetic Programming and Evolvable Machines

Công bố khoa học tiêu biểu

* Dữ liệu chỉ mang tính chất tham khảo

Sắp xếp:  
Biomimetic Representation with Enzyme Genetic Programming
Genetic Programming and Evolvable Machines - Tập 3 - Trang 315-315 - 2002
Michael A. Lones, Andy M. Tyrrell
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
Editorial introduction to the special issue on developmental systems
Genetic Programming and Evolvable Machines - - 2007
Gregory S. Hornby, Sanjeev Kumar, Christian Jacob
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
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
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
Unplugging Evolutionary Algorithms: an experiment on human-algorithmic creativity
Genetic Programming and Evolvable Machines - Tập 15 - Trang 379-402 - 2014
F. Fernández de Vega, C. Cruz, L. Navarro, P. Hernández, T. Gallego, L. Espada
Understanding and emulating human creativity is a key factor when developing computer based algorithms devoted to art. This paper presents a new evolutionary approach to art and creativity aimed at comprehending human principles and motivations, behaviors and procedures from an evolutionary point of view. The results, and the collective artwork described, is the product of a new methodology deriv...... 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
Tổng số: 440   
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 10