When optimization is just an illusion

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationAdvanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings
EditorsHiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang
PublisherSpringer Verlag
Number of pages12
EditionPART 1
ISBN (Print)9783642539138
Publication statusPublished - 1 Dec 2013
Externally publishedYes
Event9th International Conference on Advanced Data Mining and Applications, ADMA 2013 - Hangzhou, China
Duration: 14 Dec 201316 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8346 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Conference on Advanced Data Mining and Applications, ADMA 2013


  • Bio-inspired Optimization
  • Genetic Algorithms
  • Similarity Measures
  • Time Series Data Mining

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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