A Jensen

A Ramirez

AJ Ramirez

C Ofria

D Floreano

DB Knoester

DC Schmidt

F Fleury

GS Blair

HJ Goldsby

J Kramer

J Lehman

J Whittle

J Zhang

JH Holland

JR Koza

KA Jong De

KO Stanley

N Bencomo

PK McKinley

R Allen

R Miikkulainen

R Vanegas

RE Lenski

S Fickas

SB Mokhtar

Journal of Internet Services and Applications

Abstract
          In this paper, we explore the integration of evolutionary computation into the development and run-time support of dynamically-adaptable, high-assurance middleware. The open-ended nature of the evolutionary process has been shown to discover novel solutions to complex engineering problems. In the case of high-assurance adaptive software, however, this search capability must be coupled with rigorous development tools and run-time support to ensure that the resulting systems behave in accordance with requirements. Early investigations are reviewed, and several challenging problems and possible research directions are discussed.</jats:p

Philip K. McKinley

Betty H. C. Cheng

Andres J. Ramirez

Adam C. Jensen

Crossref

Applying evolutionary computation to mitigate uncertainty in dynamically-adaptive, high-assurance middleware

https://link.springer.com/content/pdf/10.1007%2Fs13174-011-0049-4.pdf

Applying evolutionary computation to mitigate uncertainty in dynamically-adaptive, high-assurance middleware

Abstract

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