Category Archives: Genetic Programming and Evolvable Machines

Abstract  Successful planning and control of robots strongly depends on the quality of kinematic models, which define mappings between
configuration space (e.g. joint angles) and task space (e.g. Cartesian coordinates of the end effector). O… Continue reading →

Abstract  Several Estimation of Distribution Algorithms (EDAs) based on Markov networks have been recently proposed. The key idea behind
these EDAs was to factorise the joint probability distribution of solution variables in terms of cliques… Continue reading →

Software review: the ECJ toolkit
Content Type Journal ArticleCategory Software ReviewPages 1-3DOI 10.1007/s10710-011-9148-zAuthors
David R. White, School of Computing Science, University of Glasgow, Lilybank Gardens, Glasgow, G12 8QQ UK

Journ… Continue reading →

Paul Coates: Programming architecture
Content Type Journal ArticleCategory Book ReviewPages 463-464DOI 10.1007/s10710-011-9146-1Authors
Benachir Medjdoub, School of the Built Environment, University of Salford, Salford, UK

Journal Genetic Pro… Continue reading →

Trent McConaghy, P. Palmers, G. Peng, Michiel Steyaert, Georges Gielen: Variation-aware analog structural synthesis: a computational intelligence approach
Content Type Journal ArticleCategory Book ReviewPages 461-462DOI 10.1007/s10710-011-9145-2Author… Continue reading →

Abstract  In this paper we investigate using multi-objective genetic programming to evolve a feature extraction stage for multiple-class
classifiers. We find mappings which transform the input space into a new, multi-dimensional decision spa… Continue reading →

Abstract  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 forma… Continue reading →

GPLAB: software review
Content Type Journal ArticleCategory software reviewPages 457-459DOI 10.1007/s10710-011-9142-5Authors
Indriyati Atmosukarto, University of Washington, Seattle, WA, USA

Journal Genetic Programming and Evolvable MachinesO… Continue reading →

Abstract  Nature is phenomenal. The achievements in, for example, evolution are everywhere to be seen: complexity, resilience, inventive
solutions and beauty. Evolvable Hardware (EH) is a field of evolutionary computation (EC) that focuses o… Continue reading →

Abstract  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, charac… Continue reading →