Romanian Journal of Information Science and Technology (ROMJIST)

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ROMJIST is a publication of Romanian Academy,
Section for Information Science and Technology

Editor – in – Chief:
Academician Dan Dascalu

Secretariate (office):
Adriana Neagu
Adress for correspondence: romjist@nano-link.net (after 1st of January, 2019)

Editing of the printed version: Mihaela Marian (Publishing House of the Romanian Academy, Bucharest)

Technical editor
of the on-line version:
Lucian Milea (University POLITEHNICA of Bucharest)

Sponsors:
• National Institute for R & D
in Microtechnologies
(IMT Bucharest), www.imt.ro
• Association for Generic
and Industrial Technologies (ASTEGI), www.astegi.ro

ROMJIST Volume 20, No. 3, 2017, pp. 241-255, Paper no. 563/2017
 

Lucian N. VINTAN
Towards Synergic Meta-Algorithmic Approaches in Complex Computing Systems

ABSTRACT: Today for almost any complex problem there are a set of state of the art refined powerful basic algorithms, quite effective in solving it. Frequently, there is not an ideal algorithm for a given complex research problem. Thus, for such complex applications it would be recommendable to use state of the art algorithms that will be concurrently orchestrated through a meta-algorithmic abstraction layer. In this paper we review this fertile idea. So, we analysed a meta-optimization method proposed in order to find the best (Pareto) individuals in a bi-objective space. Some qualitative and quantitative results were presented and explained. Also it was shown that meta-algorithms were efficient in documents' classi-fication domain. An effective adaptive meta-classification scheme for text documents was presented. Finally, it was shown that meta-algorithmic approaches are very effective in developing meta-predictors, too. A generic adaptive meta-prediction scheme was developed. In all these validation cases it was shown that the meta-algorithmic approaches involve useful synergism.

KEYWORDS: Complex Computing Systems, Meta–Algorithm, Meta–Optimization, Multi- Objective (Pareto) Optimization, Meta–Classification, Meta–Prediction

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