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Balancing Social Accounting Matrices with Artificial Polymorphus Ants

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  • Rolando Martínez

Abstract

An artificial ant colony algorithm is proposed for balancing a social accounting matrix. The approach is based on the swarm behaviour of ants, which choose an optimal path between their colony and the source of food by leaving a trace of pheromones. In the algorithms, an improvement in the balance increases the pheromones, thus rising the probability of ants moving towards the equilibrium of the matrix. Polymorphism allows allocation and partitioning of the optimization task. Copyright Springer Science+Business Media New York 2016

Suggested Citation

  • Rolando Martínez, 2016. "Balancing Social Accounting Matrices with Artificial Polymorphus Ants," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 179-191, February.
    • Handle: RePEc:kap:compec:v:47:y:2016:i:2:p:179-191
    DOI: 10.1007/s10614-014-9476-1
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    Keywords

    Artificial ant colony optimization; Social accounting matrices; C61; C67;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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