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Authors: Jörg Bremer 1 and Sebastian Lehnhoff 2

Affiliations: 1 University of Oldenburg, Germany ; 2 OFFIS, Germany

ISBN: 978-989-758-201-1

Keyword(s): Evolution Strategies, Global Optimization, Surrogate Optimization, Quantum Potential.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolution Strategies ; Evolutionary Computing ; Soft Computing ; Swarm/Collective Intelligence

Abstract: Evolution strategies have been successfully applied to optimization problems with rugged, multi-modal fitness landscapes, to non linear problems, and to derivative free optimization. Usually evolution is performed by exploiting the structure of the objective function. In this paper, we present an approach that harnesses the adapting quantum potential field determined by the spatial distribution of elitist solutions as guidance for the next generation. The potential field evolves to a smoother surface leveling local optima but keeping the global structure what in turn allows for a faster convergence of the solution set. We demonstrate the applicability and the competitiveness of our approach compared with particle swarm optimization and the well established evolution strategy CMA-ES.

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Paper citation in several formats:
Bremer, J. and Lehnhoff, S. (2016). A Quantum Field Evolution Strategy - An Adaptive Surrogate Approach.In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 3: ECTA, (IJCCI 2016) ISBN 978-989-758-201-1, pages 21-29. DOI: 10.5220/0006037000210029

@conference{ecta16,
author={Jörg Bremer. and Sebastian Lehnhoff.},
title={A Quantum Field Evolution Strategy - An Adaptive Surrogate Approach},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 3: ECTA, (IJCCI 2016)},
year={2016},
pages={21-29},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006037000210029},
isbn={978-989-758-201-1},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 3: ECTA, (IJCCI 2016)
TI - A Quantum Field Evolution Strategy - An Adaptive Surrogate Approach
SN - 978-989-758-201-1
AU - Bremer, J.
AU - Lehnhoff, S.
PY - 2016
SP - 21
EP - 29
DO - 10.5220/0006037000210029

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