?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Automatic+Configuration+of+Bi-objective+Optimisation+Algorithms%3A+Impact+of+Correlation+between+Objectives&rft.creator=Blot%2C+A&rft.creator=Hoos%2C+HH&rft.creator=Kessaci%2C+M-E&rft.creator=Jourdan%2C+L&rft.description=Multi-objective+optimisation+algorithms+expose+various+parameters+that+have+to+be+tuned+in+order+to+be+efficient.+Moreover%2C+in+multi-objective+optimisation%2C+the+correlation+between+objective+functions+is+known+to+affect+search+space+structure+and+algorithm+performance.+Considering+the+recent+success+of+automatic+algorithm+configuration+(AAC)+techniques+for+the+design+of+multi-objective+optimisation+algorithms%2C+this+raises+two+interesting+questions%3A+what+is+the+impact+of+correlation+between+optimisation+objectives+on+(1)+the+efficacy+of+different+AAC+approaches+and+(2)+on+the+optimised+algorithm+designs+obtained+from+these+automated+approaches%3F+In+this+work%2C+we+study+these+questions+for+multi-objective+local+search+algorithms+(MOLS)+for+three+well-known+bi-objective+permutation+problems%2C+using+two+single-objective+AAC+approaches+and+one+multi-objective+approach.+Our+empirical+results+clearly+show+that+overall%2C+multi-objective+AAC+is+the+most+effective+approach+for+the+automatic+configuration+of+the+highly+parametric+MOLS+framework%2C+and+that+there+is+no+systematic+impact+of+the+degree+of+correlation+on+the+relative+performance+of+the+three+AAC+approaches.+We+also+find+that+the+best-performing+configurations+differ%2C+depending+on+the+correlation+between+objectives+and+the+size+of+the+problem+instances+to+be+solved%2C+providing+further+evidence+for+the+usefulness+of+automatic+configuration+of+multi-objective+optimisation+algorithms.&rft.subject=Automatic+algorithm+configuration%0D%0A%2C%0D%0AMulti+objective+optimisation%0D%0A%2C%0D%0ACombinatorial+optimisation%0D%0A%2C%0D%0AHeuristic+algorithms&rft.publisher=IEEE&rft.date=2018-12-17&rft.type=Proceedings+paper&rft.publisher=30th+IEEE+International+Conference+on+Tools+with+Artificial+Intelligence+(ICTAI)&rft.language=eng&rft.source=+++++In%3A++30th+IEEE+International+Conference+on+Tools+with+Artificial+Intelligence+Proceedings.++(pp.+pp.+571-578).++IEEE+(2018)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10068492%2F1%2Fictai_2018_preprint.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10068492%2F&rft.rights=open