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Selecting the best algorithm for a given optimization problem is non-trivial due to large number of existing algorithms and high complexity of problems. A possible way to tackle this challenge is to attempt to understand the problem complexity. Fitness Landscape Analysis (FLA) metrics are widely used techniques to extract characteristics from problems. Based on the extracted characteristics, machine...
Fitness landscape analysis in evolutionary algorithms is commonly done on problems represented as bit strings with Hamming distance based random walks on the landscape. In this study, we aim to do a preliminary fitness landscape analysis of the differential evolution algorithm, which works on continuous search spaces. To the authors' best knowledge, no such fitness landscape analysis has been conducted...
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