Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/30842
Title: | Pre-scheduled colony size variation in dynamic environments |
Authors: | Mavrovouniotis, Michalis Ioannou, Anastasia Yang, Shengxiang |
Major Field of Science: | Natural Sciences |
Field Category: | Computer and Information Sciences |
Keywords: | Economic and social effects;Optimization |
Issue Date: | 19-Apr-2017 |
Source: | 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, Amsterdam, 19 - 21 April 2017 |
Conference: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Abstract: | The performance of the MAX -MIN ant system (MMAS) in dynamic optimization problems (DOPs) is sensitive to the colony size. In particular, a large colony size may waste computational resources whereas a small colony size may restrict the searching capabilities of the algorithm. There is a trade off in the behaviour of the algorithm between the early and later stages of the optimization process. A smaller colony size leads to better performance on shorter runs whereas a larger colony size leads to better performance on longer runs. In this paper, pre-scheduling of varying the colony size of MMAS is investigated in dynamic environments. |
URI: | https://hdl.handle.net/20.500.14279/30842 |
ISBN: | 9783319557915 |
ISSN: | 03029743 |
DOI: | 10.1007/978-3-319-55792-2_9 |
Rights: | © Springer International Publishing AG |
Type: | Conference Papers |
Affiliation : | Nottingham Trent University University of Leicester De Montfort University |
Appears in Collections: | Άρθρα/Articles |
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