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Erschienen in:
2009 | OriginalPaper | Buchkapitel
A Hybrid Ant-Based Approach to the Economic Triangulation Problem for Input-Output Tables
verfasst von : Camelia-M. Pintea, Gloria Cerasela Crisan, Camelia Chira, D. Dumitrescu
Erschienen in: Hybrid Artificial Intelligence Systems
Verlag: Springer Berlin Heidelberg
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The
Triangulation Problem for Input-Output Matrices
has been intensively studied in order to understand the complex series of interactions among the sectors of an economy. The problem refers to finding a simultaneously permutation of rows and columns of a matrix such as the sum of the entries which are above the main diagonal is maximum. This is a linear ordering problem – a well-known NP-hard combinatorial optimization problem. A new hybrid heuristic based on ant algorithms is proposed to efficiently solve the triangulation problem. Starting from a greedy solution, the proposed model hybridizes the
Ant Colony System (ACS)
metaheuristic with an
Insert-Move (IM)
local search mechanism able to refine ant solutions. The proposed
ACS-IM
algorithm is tested with good results on some real-life economic data sets.