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Socio-cognitive ACO in Multi-criteria Optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019) 11537 LNCS 488-501
DOI: 10.1007/978-3-030-22741-8_35
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Abstract

In this paper a socio-cognitive ACO-type algorithm is proposed for multi-criteria TSP problem optimization. This algorithm is rooted in psychological inspirations and follows other socio-cognitive swarm intelligence methods proposed up to now. This paper presents the idea and shows the applicability of the proposed algorithm based on selected benchmark functions from the scope of well-known TSPLIB library.

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Byrski, A., Turek, W., Radwański, W., & Kisiel-Dorohinicki, M. (2019). Socio-cognitive ACO in Multi-criteria Optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11537 LNCS, pp. 488–501). Springer Verlag. https://doi.org/10.1007/978-3-030-22741-8_35

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