Abstract
We consider the problem of finding small Golomb rulers, a hard combinatorial optimization task. This problem is here tackled by means of a hybrid evolutionary algorithm (EA). This EA incorporates ideas from greedy randomized adaptive search procedures (GRASP) in order to perform the genotype-to-phenotype mapping. As it will be shown, this hybrid approach can provide high quality results, better than those of reactive GRASP and other EAs.
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Cotta, C., Fernández, A.J. (2004). A Hybrid GRASP – Evolutionary Algorithm Approach to Golomb Ruler Search. In: Yao, X., et al. Parallel Problem Solving from Nature - PPSN VIII. PPSN 2004. Lecture Notes in Computer Science, vol 3242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30217-9_49
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DOI: https://doi.org/10.1007/978-3-540-30217-9_49
Publisher Name: Springer, Berlin, Heidelberg
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