InterCriteria Analysis of Ant Algorithm with Environment Change for GPS Surveying Problem
作者： Stefka Fidanova , Olympia Roeva , Antonio Mucherino , Kristina Kapanova
DOI: 10.1007/978-3-319-44748-3_26
关键词:
摘要: In this paper we apply InterCriteria Analysis (ICrA), which is based on the apparatus of Index Matrices and Intuitionistic Fuzzy Sets. We ICrA well-known Ant Colony Optimization (ACO) general framework including environment change. The simulated by means Logistic map, that used in ACO for perturbing update pheromone trails. compare different levels perturbation one most important parameters – pheromone. Based examine obtained identification results discuss conclusions about existing relations dependencies between defined criteria, defined, terms ICrA.
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