Helbig, MEngelbrecht, AP2013-11-192013-11-192013-06Helbig, 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 2013http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06595767http://hdl.handle.net/10204/70712013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), Mexico, 20-23 June 2013. Abstract only attached.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.enDynamic multi-objective optimisationDMOOPerformance measuresConference PresentationHelbig, M., & Engelbrecht, A. (2013). Issues with performance measures for dynamic multi-objective optimisation. IEEE Xplore. http://hdl.handle.net/10204/7071Helbig, M, and AP Engelbrecht. "Issues with performance measures for dynamic multi-objective optimisation." (2013): http://hdl.handle.net/10204/7071Helbig M, Engelbrecht A, Issues with performance measures for dynamic multi-objective optimisation; IEEE Xplore; 2013. http://hdl.handle.net/10204/7071 .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 -