Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/109197
Type: Conference paper
Title: On the runtime of randomized local search and simple evolutionary algorithms for dynamic makespan scheduling
Author: Neumann, F.
Witt, C.
Citation: Proceedings of the 24th International Joint Conference on Artificial Intelligence, 2015 / Yang, Q., Wooldridge, M. (ed./s), vol.2015-January, pp.3742-3748
Publisher: AAAI Press
Issue Date: 2015
ISBN: 9781577357384
ISSN: 1045-0823
Conference Name: 24th International Joint Conference on Artificial Intelligence (IJCAI 2015) (25 Jul 2015 - 31 Jul 2015 : Buenos Aires, Argentina)
Statement of
Responsibility: 
Frank Neumann and Carsten Witt
Abstract: Evolutionary algorithms have been frequently used for dynamic optimization problems. With this paper, we contribute to the theoretical understanding of this research area. We present the first computational complexity analysis of evolutionary algorithms for a dynamic variant of a classical combinatorial optimization problem, namely makespan scheduling. We study the model of a strong adversary which is allowed to change one job at regular intervals. Furthermore, we investigate the setting of random changes. Our results show that randomized local search and a simple evolutionary algorithm are very effective in dynamically tracking changes made to the problem instance.
Rights: Copyright © 2015 International Joint Conferences on Artificial Intelligence All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
RMID: 0030040942
Grant ID: http://purl.org/au-research/grants/arc/DP130104395
http://purl.org/au-research/grants/arc/DP140103400
Published version: http://www.ijcai.org/Abstract/15/526
Appears in Collections:Computer Science publications

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