Evaluation of MO-ACO Algorithms Using a New Fast Inter-Criteria Analysis Method View Full Text


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Chapter Info

DATE

2021-12-15

AUTHORS

Jean Dezert , Stefka Fidanova , Albena Tchamova

ABSTRACT

Dezert, JeanFidanova, StefkaTchamova, AlbenaIn 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 and for Workforce Planning Problem (WPP). More... »

PAGES

53-79

Book

TITLE

Recent Advances in Computational Optimization

ISBN

978-3-030-82396-2
978-3-030-82397-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-82397-9_3

DOI

http://dx.doi.org/10.1007/978-3-030-82397-9_3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1143872502


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