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

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.

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1. This work is partially supported by the grant No BG05M20P001-1.001-0003, financed by the Science and Education for Smart Growth Operational Program (2014-2020) and co-financed by the European Union through the European structural and Investment funds and the Bulgarian scientific fund by the grant DN 12/5.

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2. Track 1: Artificial Intelligence

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3. Technical Session: 13th International Workshop on Computational Optimization

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4. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).