A comparison of evaluation methods in coevolution

May 21, 2019 ยท Declared Dead ยท ๐Ÿ› Annual Conference on Genetic and Evolutionary Computation

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Authors Ting-Shuo Yo, Edwin de Jong arXiv ID 1905.08723 Category cs.NE: Neural & Evolutionary Cross-listed cs.LG Citations 4 Venue Annual Conference on Genetic and Evolutionary Computation Last Checked 3 months ago
Abstract
In this research, we compare four different evaluation methods in coevolution on the Majority Function problem. The size of the problem is selected such that evaluation against all possible test cases is feasible. Two measures are used for the comparisons, i.e., the objective fitness derived from evaluating solutions against all test cases, and the objective fitness correlation (OFC), which is defined as the correlation coefficient between subjective and objective fitness. The results of our experiments suggest that a combination of average score and weighted informativeness may provide a more accurate evaluation in coevolution. In order to confirm this difference, a series of t-tests on the preference between each pair of the evaluation methods is performed. The resulting significance is affirmative, and the tests for two quality measures show similar preference on four evaluation methods. %This study is the first time OFC is actually computed on a real problem. Experiments on Majority Function problems with larger sizes and Parity problems are in progress, and their results will be added in the final version.
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