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Authors: Boris Melnikov 1 ; Alexey Radionov 1 ; Andrey Moseev 2 and Elena Melnikova 2

Affiliations: 1 Togliatti State Univ., Russian Federation ; 2 Ulyanovsk State Univ., Russian Federation

Keyword(s): Discrete optimization problems, Multi-heuristic approach, Clustering situations.

Related Ontology Subjects/Areas/Topics: Algorithms and Data Structures ; Artificial Intelligence ; Enterprise Software Technologies ; Intelligent Problem Solving ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Programming Languages ; Software Engineering ; Symbolic Systems

Abstract: The present work is a continuation of several preceding author's works dedicated to a specific multiheuristic approach to discrete optimization problems. This paper considers those issues of this multiheuristic approach which relate to the problems of clustering situations. In particular it considers the issues of the author’s approach to the problems and the description of specific heuristics for the problems. We give the description of a particular example from the group of “Hierarchical Clustering Algorithms”, which we use for clustering situations. We also give descriptions of some common methods and algorithms related to such clustering. There are two examples of metrics on situations sets for two different problems; one of the problems is a classical discrete optimization problem and the other one is a game-playing programming problem.

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Paper citation in several formats:
Melnikov, B.; Radionov, A.; Moseev, A. and Melnikova, E. (2006). SOME SPECIFIC HEURISTICS FOR SITUATION CLUSTERING PROBLEMS. In Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT; ISBN 978-972-8865-69-6; ISSN 2184-2833, SciTePress, pages 272-279. DOI: 10.5220/0001317002720279

@conference{icsoft06,
author={Boris Melnikov. and Alexey Radionov. and Andrey Moseev. and Elena Melnikova.},
title={SOME SPECIFIC HEURISTICS FOR SITUATION CLUSTERING PROBLEMS},
booktitle={Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT},
year={2006},
pages={272-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001317002720279},
isbn={978-972-8865-69-6},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the First International Conference on Software and Data Technologies - Volume 2: ICSOFT
TI - SOME SPECIFIC HEURISTICS FOR SITUATION CLUSTERING PROBLEMS
SN - 978-972-8865-69-6
IS - 2184-2833
AU - Melnikov, B.
AU - Radionov, A.
AU - Moseev, A.
AU - Melnikova, E.
PY - 2006
SP - 272
EP - 279
DO - 10.5220/0001317002720279
PB - SciTePress

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