Results 1 to 10 of about 911,029 (350)
Deep Evolutionary Learning for Molecular Design [PDF]
arXiv, 2020 In this paper, we propose a deep evolutionary learning (DEL) process that integrates fragment-based deep generative model and multi-objective evolutionary computation for molecular design. Our approach enables (1) evolutionary operations in the latent space of the generative model, rather than the structural space, to generate novel promising molecular
arxiv
ECoFFeS: A Software Using Evolutionary Computation for Feature Selection in Drug Discovery
IEEE Access, 2018 Feature selection is of particular importance in the field of drug discovery. Many methods have been put forward for feature selection during recent decades.
Zhi-Zhong Liu +3 more
doaj +1 more source
RFreak-An R-package for evolutionary computation [PDF]
RFreak is an R package providing a framework for evolutionary computation. By enwrapping the functionality of an evolutionary algorithm kit written in Java, it offers an easy way to do evolutionary computation in R.
Nunkesser, Robin
core
The Evolution of Evolutionary Computation [PDF]
, 2003 Evolutionary computation has enjoyed a tremendous growth for at least a decade in both its theoretical foundations and industrial applications. Its scope has gone far beyond binary string optimisation using a simple genetic algorithm. Many research topics in evolutionary computation nowadays are not necessarily ”genetic” or ”evolutionary” in any ...
openaire +3 more sources
arXiv, 2005 Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, applying and studying algorithms based on the Darwinian principles of natural selection. In this paper we briefly introduce the main concepts behind evolutionary computing.
arxiv
arXiv, 2015 This manuscript contains an outline of lectures course "Evolutionary Algorithms" read by the author. The course covers Canonic Genetic Algorithm and various other genetic algorithms as well as evolutionary strategies, genetic programming, tabu search and the class of evolutionary algorithms in general.
arxiv
An evolutionary model with Turing machines [PDF]
, 2007 The development of a large non-coding fraction in eukaryotic DNA and the phenomenon of the code-bloat in the field of evolutionary computations show a striking similarity. This seems to suggest that (in the presence of mechanisms of code growth) the evolution of a complex code can't be attained without maintaining a large inactive fraction.
arxiv +1 more source
IET Renewable Power GenerationAdvent of distributed generation and progression towards an intelligent grid infrastructure within the domain of contemporary electrical power systems have created dynamic load profiles.
Samira Sadeghi +3 more
doaj +1 more source
Fitness Approximation Through Machine Learning with Dynamic Adaptation to the Evolutionary State
InformationWe present a novel approach to performing fitness approximation in genetic algorithms (GAs) using machine learning (ML) models, focusing on dynamic adaptation to the evolutionary state.
Itai Tzruia +3 more
doaj +1 more source
On the complexity of computing evolutionary trees [PDF]
, 1997 In this paper we study a few important tree optimization problems with applications to computational biology. These problems ask for trees that are consistent with an as large part, of the given data as possible. We show that the maximum homeomorphic agreement subtree problem cannot be approximated within a factor of Ne, where N is the input size, for ...
Gasieniec, L. +3 more
openaire +3 more sources