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Issues with performance measures for dynamic multi-objective optimisation

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dc.contributor.author Helbig, M
dc.contributor.author Engelbrecht, AP
dc.date.accessioned 2013-11-19T05:38:51Z
dc.date.available 2013-11-19T05:38:51Z
dc.date.issued 2013-06
dc.identifier.citation Helbig, M and Engelbrecht, A.P. 2013. Issues with performance measures for dynamic multi-objective optimisation. In: 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), Mexico, 20-23 June 2013 en_US
dc.identifier.uri http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06595767
dc.identifier.uri http://hdl.handle.net/10204/7071
dc.description 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), Mexico, 20-23 June 2013. Abstract only attached. en_US
dc.description.abstract In recent years a number of algorithms were proposed to solve dynamic multi-objective optimisation problems. However, a major problem in the field of dynamic multi-objective optimisation is a lack of standard performance measures to quantify the quality of solutions found by an algorithm. In addition, the selection of performance measures may lead to misleading results. This paper highlights issues that may cause misleading results when comparing dynamic multi-objective optimisation algorithms with performance measures that are currently used in the field. en_US
dc.language.iso en en_US
dc.publisher IEEE Xplore en_US
dc.relation.ispartofseries Workflow;11371
dc.subject Dynamic multi-objective optimisation en_US
dc.subject DMOO en_US
dc.subject Performance measures en_US
dc.title Issues with performance measures for dynamic multi-objective optimisation en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Helbig, M., & Engelbrecht, A. (2013). Issues with performance measures for dynamic multi-objective optimisation. IEEE Xplore. http://hdl.handle.net/10204/7071 en_ZA
dc.identifier.chicagocitation Helbig, M, and AP Engelbrecht. "Issues with performance measures for dynamic multi-objective optimisation." (2013): http://hdl.handle.net/10204/7071 en_ZA
dc.identifier.vancouvercitation Helbig M, Engelbrecht A, Issues with performance measures for dynamic multi-objective optimisation; IEEE Xplore; 2013. http://hdl.handle.net/10204/7071 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Helbig, M AU - Engelbrecht, AP AB - In recent years a number of algorithms were proposed to solve dynamic multi-objective optimisation problems. However, a major problem in the field of dynamic multi-objective optimisation is a lack of standard performance measures to quantify the quality of solutions found by an algorithm. In addition, the selection of performance measures may lead to misleading results. This paper highlights issues that may cause misleading results when comparing dynamic multi-objective optimisation algorithms with performance measures that are currently used in the field. DA - 2013-06 DB - ResearchSpace DP - CSIR KW - Dynamic multi-objective optimisation KW - DMOO KW - Performance measures LK - https://researchspace.csir.co.za PY - 2013 T1 - Issues with performance measures for dynamic multi-objective optimisation TI - Issues with performance measures for dynamic multi-objective optimisation UR - http://hdl.handle.net/10204/7071 ER - en_ZA


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