Abstract
Complex optimization problems may have fitness landscapes with fractal characteristics. This chapter reviews landscapes obtained from basic artificial test functions as well as cost functions of real application problems which have the property to be fractal. We will discuss the description, structure and complexity of these fractal fitness landscapes. A major topic of this chapter is to use elements from fractal geometry to measure attributes of fractal landscapes. Also, structural as well as functional properties of the landscape are discussed. The examples used in this chapter are two-dimensional, however it is possible to extend the proposed analysis to n dimensions.
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Zelinka, I., Zmeskal, O., Saloun, P. (2014). Fractal Analysis of Fitness Landscapes. In: Richter, H., Engelbrecht, A. (eds) Recent Advances in the Theory and Application of Fitness Landscapes. Emergence, Complexity and Computation, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41888-4_15
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DOI: https://doi.org/10.1007/978-3-642-41888-4_15
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