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Author: Tadeusz Dyduch

Affiliation: Institute of Computing Science, AGH University of Science and Technology, Poland

Keyword(s): Evolutionary computation, mixed linear programming, investments planning.

Related Ontology Subjects/Areas/Topics: Evolutionary Computation and Control ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization

Abstract: The paper presents a special type of hybrid evolutionary computation, named by the authors Two-Level Adaptive Evolutionary Computation (TLAEC). The method consists in combination of evolutionary computation with deterministic optimization algorithms in a hierarchical system. Novelty of the method consists also in a new type of adaptation mechanism. Post optimal analysis of the lower level optimization task is utilized in order to modify probability distributions for new genotype generating. The paper presents an algorithm based on TLAEC method, solving a difficult optimization problem. A mathematical model of this problem assumes the form of mixed discrete-continuous programming. A concept of the algorithm is described in the paper and the proposed, new adaptation mechanism that is implemented in the algorithm is described in detail. The results of computation experiments as well as their analysis are also given.

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Paper citation in several formats:
Dyduch, T. (2006). HYBRID EVOLUTIONARY COMPUTATIONS - Application for Industry Investment Problem. In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO; ISBN 978-972-8865-59-7; ISSN 2184-2809, SciTePress, pages 195-198. DOI: 10.5220/0001205201950198

@conference{icinco06,
author={Tadeusz Dyduch.},
title={HYBRID EVOLUTIONARY COMPUTATIONS - Application for Industry Investment Problem},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO},
year={2006},
pages={195-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001205201950198},
isbn={978-972-8865-59-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO
TI - HYBRID EVOLUTIONARY COMPUTATIONS - Application for Industry Investment Problem
SN - 978-972-8865-59-7
IS - 2184-2809
AU - Dyduch, T.
PY - 2006
SP - 195
EP - 198
DO - 10.5220/0001205201950198
PB - SciTePress