"Ontologies to Lead Knowledge Intensive Evolutionary Algorithms: Principles ..."

Carlos Catania et al. (2016)

Details and statistics

DOI: 10.4018/IJKSS.2016010105

access: closed

type: Journal Article

metadata version: 2020-05-20

a service of  Schloss Dagstuhl - Leibniz Center for Informatics