Estimation of distribution algorithm: Difference between revisions

Revision as of 16:10, 2 May 2020

Revision as of 22:38, 17 December 2020

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* Real-coded PBIL{{Citation needed|date=June 2018}}

* Selfish Gene Algorithm (SG)<ref>{{Cite book|last=Corno|first=Fulvio|last2=Reorda|first2=Matteo Sonza|last3=Squillero|first3=Giovanni|date=1998-02-27|title=The selfish gene algorithm: a new evolutionary optimization strategy|publisher=ACM|pages=349–355|doi=10.1145/330560.330838|isbn=978-0897919692}}</ref>

* Compact Differential Evolution (cDE)<ref>{{Cite journal|last=Mininno|first=Ernesto|last2=Neri|first2=Ferrante|last3=Cupertino|first3=Francesco|last4=Naso|first4=David|date=2011|title=Compact Differential Evolution|journal=IEEE Transactions on Evolutionary Computation|language=en-US|volume=15|issue=1|pages=32–54|doi=10.1109/tevc.2010.2058120|issn=1089-778X}}</ref> and its variants<ref>{{Cite journal|last=Iacca|first=Giovanni|last2=Caraffini|first2=Fabio|last3=Neri|first3=Ferrante|date=2012|title=Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead|journal=Journal of Computer Science and Technology|language=en|volume=27|issue=5|pages=1056–1076|doi=10.1007/s11390-012-1284-2|issn=1000-9000}}</ref><ref>{{Citation|last=Iacca|first=Giovanni|title=Opposition-Based Learning in Compact Differential Evolution|date=2011|last2=Neri|first2=Ferrante|last3=Mininno|first3=Ernesto|work=Applications of Evolutionary Computation|pages=264–273|publisher=Springer Berlin Heidelberg|language=en|doi=10.1007/978-3-642-20525-5_27|isbn=9783642205248}}</ref><ref>{{Cite book|last=Mallipeddi|first=Rammohan|last2=Iacca|first2=Giovanni|last3=Suganthan|first3=Ponnuthurai Nagaratnam|last4=Neri|first4=Ferrante|last5=Mininno|first5=Ernesto|date=2011|title=Ensemble strategies in Compact Differential Evolution|journal=2011 IEEE Congress of Evolutionary Computation (CEC)|language=en-US|publisher=IEEE|volume=|pages=|doi=10.1109/cec.2011.5949857|isbn=9781424478347}}</ref><ref>{{Cite journal|last=Neri|first=Ferrante|last2=Iacca|first2=Giovanni|last3=Mininno|first3=Ernesto|date=2011|title=Disturbed Exploitation compact Differential Evolution for limited memory optimization problems|journal=Information Sciences|volume=181|issue=12|pages=2469–2487|doi=10.1016/j.ins.2011.02.004|issn=0020-0255}}</ref><ref>{{Cite book|last=Iacca|first=Giovanni|last2=Mallipeddi|first2=Rammohan|last3=Mininno|first3=Ernesto|last4=Neri|first4=Ferrante|last5=Suganthan|first5=Pannuthurai Nagaratnam|date=2011|title=Global supervision for compact Differential Evolution|journal=2011 IEEE Symposium on Differential Evolution (SDE)|language=en-US|publisher=IEEE|volume=|pages=|doi=10.1109/sde.2011.5952051|isbn=9781612840710}}</ref><ref>{{Cite book|last=Iacca|first=Giovanni|last2=Mallipeddi|first2=Rammohan|last3=Mininno|first3=Ernesto|last4=Neri|first4=Ferrante|last5=Suganthan|first5=Pannuthurai Nagaratnam|date=2011|title=Super-fit and population size reduction in compact Differential Evolution|journal=2011 IEEE Workshop on Memetic Computing (MC)|language=en-US|publisher=IEEE|volume=|pages=|doi=10.1109/mc.2011.5953633|isbn=9781612840659}}</ref>

* Compact Particle Swarm Optimization (cPSO)<ref>{{Cite journal|last=Neri|first=Ferrante|last2=Mininno|first2=Ernesto|last3=Iacca|first3=Giovanni|date=2013|title=Compact Particle Swarm Optimization|journal=Information Sciences|volume=239|pages=96–121|doi=10.1016/j.ins.2013.03.026|issn=0020-0255}}</ref>

* Compact Bacterial Foraging Optimization (cBFO)<ref>{{Citation|last=Iacca|first=Giovanni|title=Compact Bacterial Foraging Optimization|date=2012|last2=Neri|first2=Ferrante|last3=Mininno|first3=Ernesto|work=Swarm and Evolutionary Computation|pages=84–92|publisher=Springer Berlin Heidelberg|language=en|doi=10.1007/978-3-642-29353-5_10|isbn=9783642293528}}</ref>

* Probabilistic incremental program evolution (PIPE)<ref>{{Cite journal|last=Salustowicz|first=null|last2=Schmidhuber|first2=null|date=1997|title=Probabilistic incremental program evolution|journal=Evolutionary Computation|volume=5|issue=2|pages=123–141|issn=1530-9304|pmid=10021756|doi=10.1162/evco.1997.5.2.123|url=http://depositonce.tu-berlin.de/handle/11303/1046}}</ref>

* Estimation of Gaussian networks algorithm (EGNA){{Citation needed|date=June 2018}}

* Estimation multivariate normal algorithm with thresheld convergence<ref>{{Cite book|last=Tamayo-Vera|first=Dania|last2=Bolufe-Rohler|first2=Antonio|last3=Chen|first3=Stephen|date=2016|title=Estimation multivariate normal algorithm with thresheld convergence|journal=2016 IEEE Congress on Evolutionary Computation (CEC)|language=en-US|publisher=IEEE|volume=|pages=|doi=10.1109/cec.2016.7744223|isbn=9781509006236}}</ref>

*Dependency Structure Matrix Genetic Algorithm (DSMGA)<ref>{{Citation|last=Yu|first=Tian-Li|title=Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm|date=2003|work=Genetic and Evolutionary Computation — GECCO 2003|pages=1620–1621|publisher=Springer Berlin Heidelberg|language=en|doi=10.1007/3-540-45110-2_54|isbn=9783540406037|last2=Goldberg|first2=David E.|last3=Yassine|first3=Ali|last4=Chen|first4=Ying-Ping}}</ref><ref>{{Cite book|last=Hsu|first=Shih-Huan|last2=Yu|first2=Tian-Li|date=2015-07-11|title=Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II|publisher=ACM|pages=519–526|doi=10.1145/2739480.2754737|isbn=9781450334723|arxiv=1807.11669}}</ref>