This paper shows that the new APEA algorithm is able to outperform its nearest rival in this very complex problem by a factor of 20,000 in terms of a ...
Jun 1, 2002 · This paper introduces a new and very broadly applicable algorithm (called APEA) based on an asynchronous parallel evolutionary paradigm, which ...
TL;DR: This paper shows that the new APEA algorithm is able to outperform its nearest rival in this very complex problem by a factor of 20,000 in terms of a ...
Numerical experiments show that MAPEA exhibits good performance and can handle complex constrained optimization problems, and the speedup and parallel ...
Abstract This study presents an asynchronous parallel evolutionary algorithm based on message passing model (MAPEA) for solving complex function ...
This paper introduces a new asynchronous parallel evolutionary algorithm (APEA) based on the island model for solving function optimization problems.
This paper provides an empirical analysis of the scalability improvements ob- tained by applying APEAs to such problem classes. Fur- thermore, APEAs often ...
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An asynchronous parallel evolutionary algorithm. (apea) for solving complex non-linear real world optimization problems. Neural, Parallel and. Scientific ...
[D] Are Genetic Algorithms Dead? : r/MachineLearning - Reddit
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Mar 2, 2023 · They're pretty much dead for training neural nets absolutely, but there are tons of other more general optimization problems that GAs (or more ...
Missing: asynchronous (APEA)
Parallel evolutionary algorithms are able to improve the performance of simple evolutionary algorithms which use a single population.