On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms.

Wilson, K. and Rostami, S., 2018. On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms. In: UKCI 2018 : 18TH ANNUAL UK WORKSHOP ON COMPUTATIONAL INTELLIGENCE, 5-7 September 2018, Nottingham Trent University, Nottingham, United Kingdom. (In Press)

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Abstract

This paper proposes the notion that the experimental results and performance analyses of newly developed algorithms in the field of multi-objective optimisation may not offer sufficient integrity for hypothesis testing. This is demonstrated through the multiple comparison of three implementations of the popular Non-dominated Sorting Genetic Algorithm II (NSGA-II) from well-regarded frameworks using the hypervolume indicator. The results show that of the thirty considered comparison cases, only four indicate that there was no significant difference between the performance of either implementation.

Item Type:Conference or Workshop Item (Paper)
Additional Information:This item is embargoed until after it has been presented at the conference.
Uncontrolled Keywords:Evolutionary Algorithms; Genetic Algorithms; Optimisation; Hypervolume indicator;
Group:Faculty of Science & Technology
ID Code:31060
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:26 Jul 2018 13:55
Last Modified:26 Jul 2018 13:55

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