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


Ontology type: schema:Chapter     


Chapter Info

DATE

2016-08-18

AUTHORS

Stefka Fidanova , Olympia Roeva , Antonio Mucherino , Kristina Kapanova

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. More... »

PAGES

271-278

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-44748-3_26

DOI

http://dx.doi.org/10.1007/978-3-319-44748-3_26

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035973696


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