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Author: Patryk Filipiak

Affiliation: University of Wroclaw, Poland

ISBN: Not Available

Keyword(s): proactivity, dynamic optimization, evolutionary algorithm, anticipation, changing environments.

Abstract: This paper proposes the three anticipation strategies applicable to Evolutionary Algorithms in order to improve their performance in solving Dynamic Optimization Problems. The proposed approaches realize a proactive model in dealing with the changing landscapes. It collects the past observations of the changing environment and utilizes them to anticipate the future landscape. This way, the Evolutionary Algorithm can deal in advance with the changes to come by directing a part of the population towards the most probable future promising regions.

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Paper citation in several formats:
Filipiak, P. (2014). Proactive Evolutionary Algorithms for Dynamic Optimization Problems.In Doctoral Consortium - DCCI, (IJCCI 2014) ISBN Not Available, pages 3-13

@conference{dcci14,
author={Patryk Filipiak.},
title={Proactive Evolutionary Algorithms for Dynamic Optimization Problems},
booktitle={Doctoral Consortium - DCCI, (IJCCI 2014)},
year={2014},
pages={3-13},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={Not Available},
}

TY - CONF

JO - Doctoral Consortium - DCCI, (IJCCI 2014)
TI - Proactive Evolutionary Algorithms for Dynamic Optimization Problems
SN - Not Available
AU - Filipiak, P.
PY - 2014
SP - 3
EP - 13
DO -

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