InterCriteria Analysis of Ant Algorithm with Environment Change for GPS Surveying Problem

Stefka Fidanova 1 Olympia Roeva 1 Antonio Mucherino 2 K. Kapanova 1
2 GenScale - Scalable, Optimized and Parallel Algorithms for Genomics
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE, Inria Rennes – Bretagne Atlantique
Abstract : In this paper we apply InterCriteria Analysis (ICrA), which is based on the apparatus of Index Matrices and Intuitionistic Fuzzy Sets. We apply ICrA on the well-known Ant Colony Optimization (ACO) general framework including environment change. The environment is simulated by means of the Logistic map, that is used in ACO for perturbing the update of the pheromone trails. We compare different levels of perturbation of the one of the most important parameters in ACO – the pheromone. Based on ICrA we examine the obtained identification results and discuss the conclusions about existing relations and dependencies between defined criteria, defined in terms of ICrA.
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Communication dans un congrès
Christo Dichev ; Gennady Agre 17th International Conference on Artificial Intelligence: Methodology Systems, Applications (AIMSA16), Sep 2016, Varna, Bulgaria. Springer, 9883, pp.271-278, Lecture Notes in Artificial Intelligence. 〈10.1007/978-3-319-44748-3_26〉
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https://hal.inria.fr/hal-01402412
Contributeur : Antonio Mucherino <>
Soumis le : jeudi 24 novembre 2016 - 16:09:44
Dernière modification le : mardi 16 janvier 2018 - 15:54:20

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Stefka Fidanova, Olympia Roeva, Antonio Mucherino, K. Kapanova. InterCriteria Analysis of Ant Algorithm with Environment Change for GPS Surveying Problem. Christo Dichev ; Gennady Agre 17th International Conference on Artificial Intelligence: Methodology Systems, Applications (AIMSA16), Sep 2016, Varna, Bulgaria. Springer, 9883, pp.271-278, Lecture Notes in Artificial Intelligence. 〈10.1007/978-3-319-44748-3_26〉. 〈hal-01402412〉

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