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dc.contributor.authorBasto-Fernandes, V.en
dc.contributor.authorEmmerich M.T.M.
dc.contributor.authorYevseyeva, Iryna
dc.date.accessioned2018-03-28T13:53:50Z
dc.date.available2018-03-28T13:53:50Z
dc.date.issued2017-04-29
dc.identifier.citationBasto-Fernandes V., Yevseyeva I., Emmerich M.T.M. A Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms. EVOLVE – A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation, In: Emmerich M.T.M., Deutz A., Schuetze O., Bäck T., Tantar E., Tantar A.-A., Del Moral P., Legrand P., Bouvry P., Coello Coello C.A., Studies in Computational Intelligence series, Springer, 2017, pp. 3-23.en
dc.identifier.urihttp://hdl.handle.net/2086/15667
dc.description.abstractIn this chapter it is discussed, how the concept of diversity plays a crucial role in contemporary (multi-objective) optimization algorithms. It is shown that diversity maintenance can have a different purpose, such as improving global convergence reliability or finding alternative solutions to a (multi-objective) optimization problem. Moreover, different algorithms are reviewed that put special emphasis on diversity maintenance, such as multicriteria evolutionary optimization algorithms, multimodal optimization, artificial immune systems, and techniques from set oriented numerics. Diversity maintenance enters in different search operators and is used for different reasons in these algorithms. Among them we highlight evolutionary, swarm-based, artificial immune system-based, and indicator-based approaches to diversity optimization. In order to understand indicator-based approaches, we will review some of the most common diversity indices that can be used to quantitatively assess diversity. Based on the discussion, ’diversity oriented optimization’ is suggested as a term encompassing optimization techniques that adress diversity maintainance as a major ingredient of the search paradigm. To bring order into all these different approaches, an ontology on diversity oriented optimization is proposed. It provides a systematic overview of the various concepts, methods, and applications and it can be extended in future work.en
dc.language.isoen_USen
dc.publisherSpringeren
dc.subjectPareto Front Multiobjective Optimization Pareto Optimal Solution Objective Space Constraint Violationen
dc.titleA Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms.en
dc.typeBook chapteren
dc.identifier.doihttps://doi.org/10.1007/978-3-319-49325-1_1
dc.researchgroupCyber Technology Institute (CTI)en
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NC-NDen
dc.date.acceptance2017-04-27en
dc.researchinstituteCyber Technology Institute (CTI)en


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