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Published in:
2005 | OriginalPaper | Chapter
Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems
Authors : Hisao Ishibuchi, Shiori Kaige, Kaname Narukawa
Published in: Evolutionary Multi-Criterion Optimization
Publisher: Springer Berlin Heidelberg
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This paper examines two repair schemes (i.e., Lamarckian and Baldwinian) through computational experiments on multiobjective 0/1 knapsack problems. First we compare Lamarckian and Baldwinian with each other. Experimental results show that the Baldwinian repair outperforms the Lamarckian repair. It is also shown that these repair schemes outperform a penalty function approach. Then we examine partial Lamarckianism where the Lamarckian repair is applied to each individual with a prespecified probability. Experimental results show that a so-called 5% rule works well. Finally partial Lamarckianism is compared with an island model with two subpopulations where each island has a different repair scheme. Experimental results show that the island model slightly outperforms the standard single-population model with the 50% partial Lamarckian repair in terms of the diversity of solutions.