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Author: Jerzy Marian Balicki

Affiliation: Naval University of Gdynia, Poland

ISBN: 978-989-8111-05-0

Keyword(s): Genetic programming, multi-criterion optimization, distributed systems.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Load Balancing in Smart Grids ; Smart Grids

Abstract: Multi-criterion genetic programming (MGP) is a relatively new approach for a decision making aid and it can be applied to determine the Pareto solutions. This purpose can be obtained by formulation of a multi-criterion optimization problem that can be solved by genetic programming. An improved negative selection procedure to handle constraints in the MGP has been proposed. In the test instance, both a workload of a bottleneck computer and the cost of system are minimized; in contrast, a reliability of the distributed system is maximized.

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Paper citation in several formats:
Marian Balicki J. and (2007). MULTI-CRITERION GENETIC PROGRAMMING WITH NEGATIVE SELECTION FOR FINDING PARETO SOLUTIONS.In Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT, ISBN 978-989-8111-05-0, pages 120-127. DOI: 10.5220/0001336201200127

@conference{icsoft07,
author={Jerzy {Marian Balicki}},
title={MULTI-CRITERION GENETIC PROGRAMMING WITH NEGATIVE SELECTION FOR FINDING PARETO SOLUTIONS},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,},
year={2007},
pages={120-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001336201200127},
isbn={978-989-8111-05-0},
}

TY - CONF

JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,
TI - MULTI-CRITERION GENETIC PROGRAMMING WITH NEGATIVE SELECTION FOR FINDING PARETO SOLUTIONS
SN - 978-989-8111-05-0
AU - Marian Balicki, J.
PY - 2007
SP - 120
EP - 127
DO - 10.5220/0001336201200127

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