NDLI: Spatial implementation of evolutionary multiobjective algorithms with partial Lamarckian repair for multiobjective knapsack problems

Content Provider	IEEE Xplore Digital Library
Author	Ishibuchi, H. Narukawa, K.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci. & Intelligent Syst., Osaka Prefecture Univ., Japan (Ishibuchi, H.; Narukawa, K.)
Abstract	Multiobjective 0/1 knapsack problems have been frequently used as test problems for the performance evaluation of evolutionary multiobjective optimization algorithms. It has been shown that their performance on such test problems strongly depends on the choice of a repair method to transform infeasible solutions into feasible ones. We examine partial Lamarckianism where Lamarckian repair is probabilistically applied to infeasible solutions. When the Lamarckian repair is not applied to an infeasible solution, Baldwinian repair is used. We propose an island model to spatially implement the partial Lamarckianism where each island is based on either Lamarckian or Baldwinian.
File Size	230946
File Format	PDF
ISBN	0769524575
DOI	10.1109/ICHIS.2005.98
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-06
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Constraint optimization System testing Genetics Intelligent systems Hybrid intelligent systems
Content Type	Text
Resource Type	Article

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Spatial implementation of evolutionary multiobjective algorithms with partial Lamarckian repair for multiobjective knapsack problems