Fast BF-ICrA Method for the Evaluation of MO-ACO Algorithm for WSN Layout

Stefka Fidanova, Jean Dezert, Albena Tchamova
2020 Proceedings of the 2020 Federated Conference on Computer Science and Information Systems  
In this paper, we present a fast Belief Function based Inter-Criteria Analysis (BF-ICrA) method based on the canonical decomposition of basic belief assignments defined on a dichotomous frame of discernment. This new method is then applied for evaluating the Multiple-Objective Ant Colony Optimization (MO-ACO) algorithm for Wireless Sensor Networks (WSN) deployment.
doi:10.15439/2020f10 dblp:conf/fedcsis/FidanovaDT20 fatcat:euuvmpfnrjc3xlbb2y3kpjnula