@inproceedings{b4d7cc41716d45fa94a18a91afabcb06,
title = "When optimization is just an illusion",
abstract = "Bio-inspired optimization algorithms have been successfully applied to solve many problems in engineering, science, and economics. In computer science bio-inspired optimization has different applications in different domains such as software engineering, networks, data mining, and many others. However, some applications may not be appropriate or even correct. In this paper we study this phenomenon through a particular method which applies the genetic algorithms on a time series classification task to set the weights of the similarity measures used in a combination that is used to classify the time series. The weights are supposed to be obtained by applying an optimization process that gives optimal classification accuracy. We show in this work, through examples, discussions, remarks, explanations, and experiments, that the aforementioned method of optimization is not correct and that completely randomly-chosen weights for the similarity measures can give the same classification accuracy.",
keywords = "Bio-inspired Optimization, Genetic Algorithms, Similarity Measures, Time Series Data Mining",
author = "{Muhammad Fuad}, M.M.",
year = "2013",
month = dec,
day = "1",
doi = "10.1007/978-3-642-53914-5_11",
language = "English",
isbn = "9783642539138",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "121--132",
editor = "Motoda, {Hiroshi } and { Wu}, Zhaohui and Cao, {Longbing } and Zaiane, {Osmar } and Yao, {Min } and Wang, {Wei }",
booktitle = "Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings",
address = "Austria",
edition = "PART 1",
note = "9th International Conference on Advanced Data Mining and Applications, ADMA 2013 ; Conference date: 14-12-2013 Through 16-12-2013",
}