Title :
Issues with performance measures for dynamic multi-objective optimisation
Author :
Helbig, Marde ; Engelbrecht, Andries P.
Author_Institution :
Meraka Inst., Brummeria, South Africa
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.
Keywords :
dynamic programming; dynamic multiobjective optimisation; performance measure; Accuracy; Current measurement; Heuristic algorithms; Linear programming; Optical fibers; Optimization; Vectors; dynamic multi-objective optimisation; performance measures;
Conference_Titel :
Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), 2013 IEEE Symposium on
Conference_Location :
Singapore
DOI :
10.1109/CIDUE.2013.6595767