Multi-Parent's Niche: n-ary Crossovers on NK-Landscapes
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چکیده
1 I n t r o d u c t i o n In previous papers the multi-parent scanning crossover and diagonal crossover were tested on numerical optimization problems, [3, 4, 5]. These tests were performed on a test suite of common EA test functions, still they were chosen somewhat arbitrarily, moreover the types of fitness landscapes they span are difficult to characterize. I t was therefore not possible to look for 'mult i -parent 's niche', [6], in a systematic way. For a bet ter analysis of the behaviour of GAs with mult i-parent recombination a systematic way of defining different fitness landscapes was necessary. We found such a way in using NK-landscapes that allow characterization and user control of ruggedness of the fitness landscape, [10]. We define what NK-landscapes are in Section 2. We give a brief overview of mult i-parent operators in EA in Section 3. Thereafter in Section 4 we describe the experimental setup, and in Section 5 we summarize the test results. Finally, we draw conclusions and sketch further research in Section 6. 2 N K l a n d s c a p e s The family of NK-landscapes was introduced by Kauffman as a class of problems where the fitness landscape can be gradually tuned from smooth to chaotic, [10]. The parameters N, respectively K specify the total number of bits (which will equal the chromosome length in the GA searching this landscape) and the
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تاریخ انتشار 1996