LAnt: Model driven approach for ant colony optimization¹

Issue title: Collective intelligent information and database systems

Guest editors: Ngoc-Thanh Nguyen, Manuel Núñez and Bogdan Trawiński

Article type: Research Article

Authors: Cañizares, Pablo C.^{a; *} | Merayo, Mercedes G.^a | Vara, Juan M.^b

Affiliations: [a] Universidad Complutense de Madrid, Spain | [b] University Rey Juan Carlos, Spain

Correspondence: [*] Corresponding author. Pablo C. Cañizares, Universidad Complutense de Madrid, Spain. Tel.: +34 91 3947648; Fax: +34 91 3947529; E-mail: pablocc@ucm.es.

Note: [1] Research partially supported by the Spanish project DArDOS (TIN2015-65845-C3-1-R) and the Comunidad de Madrid project SICOMORo-CM (S2013/ICE-3006).

Abstract: This paper introduces a new high-level domain-specific modelling language, LAnt, for the design of ant colony optimization algorithms. This language is used to represent the main elements required to define the structure of the algorithms and to capture the specific constraints associated to the problem to solve. It aims to support users with low experience in the development of solutions based on this paradigm. The proposal has been implemented as an Eclipse plug-in, including an editor and an integrated code generator.

Keywords: Artificial intelligence, ant colony optimization, model driven engineering, domain specific language

DOI: 10.3233/JIFS-169132

Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 2, pp. 1343-1354, 2017