How not to be a black-box: evolution and genetic-engineering of high-level behaviours
Related publications (38)
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
Genetic programming is used in this paper for modeling the fatigue life of several fiber-reinforced composite material systems. It is shown that if the genetic programming tool is adequately trained, it can produce theoretical predictions that compare favo ...
System-level design decisions such as HW/SW partitioning, target architecture selection and scheduler selection are some of the main concerns of current complex system-on-chip (SOC) designs. In this paper, a novel window-based heuristic is proposed that ad ...
An equation solver data reconciliation software has been used to build a validated model of a waste paper deinking mill, by combining control room measurements and process design specifications. An optimal sampling protocol to validate the model by using o ...
The significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary approach to the synthesis of many kinds of systems and, in particular, to the ...
In this article, we propose a novel partitioning method for hardware-software codesign based on a genetic algorithm that has been enhanced for this specific task. Given a high- level program and an area constraint, our software considers different granular ...
We explore using particle swarm optimization on problems with noisy performance evaluation, focusing on unsupervised robotic learning. We adapt a technique of overcoming noise used in genetic algorithms for use with particle swarm optimization, and evaluat ...
Synthetic yet realistic images are valuable for many applications in visual sciences and medical imaging. Typically, investigators develop algorithms and adjust their parameters to generate images that are visually similar to real images. In this study, we ...
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program's evaluation profile with respect to a set of fitness cases and constraining to a spec ...
We introduce and apply a genetic representation for analog electronic circuits based on the association of character strings extracted from the genome with the ter-minals and parameters of components, and the use of local string alignment to generate the c ...
We present a new approach that is able to produce an increased fault tolerance in bio-inspired electronic circuits. In order to do so, we designed hardware-friendly genetic regulatory networks based on a bio-inspired hardware architecture called POEtic tis ...