Chemo-inspired Genetic Algorithm for Optimizing the Piecewise Aggregate Approximation

Muhammad Marwan Muhammad Fuad

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Paper

Chemo-inspired Genetic Algorithm for Optimizing the Piecewise Aggregate Approximation

Topics: Data Mining and Business Analytics; Optimization; Stochastic Optimization

In Proceedings of the International Conference on Operations Research and Enterprise Systems ICORES - Volume 1, 205-210, 2015 , Lisbon, Portugal

Author: Muhammad Marwan Muhammad Fuad

Affiliation: University of Tromsø, Norway

Keyword(s): Bacterial Foraging, Chemotaxis, Genetic Algorithm, Hybridization, Piecewise Aggregate Approximation, Time Series.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining and Business Analytics ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Methodologies and Technologies ; Operational Research ; Optimization ; Stochastic Optimization ; Symbolic Systems

Abstract: In a previous work we presented DEWPAA: an improved version of the piecewise aggregate approximation representation method of time series. DEWPAA uses differential evolution to set weights to different segments of the time series according to their information content. In this paper we use a hybrid of bacterial foraging and genetic algorithm (CGA) to set the weights of the different segments in our improved piecewise aggregate approximation. Our experiments show that the new hybrid gives better results in time series classification.

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Paper citation in several formats:

Muhammad Fuad, M. (2015). Chemo-inspired Genetic Algorithm for Optimizing the Piecewise Aggregate Approximation. In Proceedings of the International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-075-8; ISSN 2184-4372, SciTePress, pages 205-210. DOI: 10.5220/0005277302050210

@conference{icores15,
author={Muhammad Marwan {Muhammad Fuad}.},
title={Chemo-inspired Genetic Algorithm for Optimizing the Piecewise Aggregate Approximation},
booktitle={Proceedings of the International Conference on Operations Research and Enterprise Systems - ICORES},
year={2015},
pages={205-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005277302050210},
isbn={978-989-758-075-8},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the International Conference on Operations Research and Enterprise Systems - ICORES
TI - Chemo-inspired Genetic Algorithm for Optimizing the Piecewise Aggregate Approximation
SN - 978-989-758-075-8
IS - 2184-4372
AU - Muhammad Fuad, M.
PY - 2015
SP - 205
EP - 210
DO - 10.5220/0005277302050210
PB - SciTePress