Factorization of combinatorial problems with blocking meta-heuristics

Authors:
Zurab Bosikashvili;Tamar Lominadze
Affiliations:
Department of Information Systems, Georgian Technical University, Tbilisi, Georgia;Department of Information Systems, Georgian Technical University, Tbilisi, Georgia
Venue:
ECC'09 Proceedings of the 3rd international conference on European computing conference
Year:
2009

Citing 1
Cited 1

Principles of artificial intelligence

Principles of artificial intelligence

The blocking meta-heuristics for combinatorial problems solving

CI'10 Proceedings of the 4th WSEAS international conference on Computational intelligence

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Abstract

Almost all the problems in artificial intelligence are characterized by exponential complexity. The scientists working in this sphere direct their efforts mainly to minimizing combinatorial "explosion", but, in spite of all, there is still much to think about. In this article we present a new metaheuristic-based model of solving combinatory problems, which allows solving problems automatically by means of abstracting, division and analogy principles.