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- W2061391953 abstract "To find MST (Minimum Spanning Trees) in complete graph is a classical problem in operation research having network design as an important application. It is possible to solve MST problem efficiently, but its Biobjective versions are NP hard. In this paper, we present a comparison of two encoding schemes for representing tree in Biobjective optimization scenario. The three different instances of Biobjective MST have been solved by using two different encoding methods in the evolutionary algorithms; Pareto optimal front obtained has been taken into account for comparative study. Our evolutionary computation approach involves Biobjective MST problem using NSGAII (Nondominated Sorting Genetic Algorithm II) approach. We compare edge sets encoding with Prufer encoding in evolutionary algorithm for Biobjective MST, we find edge sets encoding outperforms the Prufer in Biobjective optimization scenario." @default.
- W2061391953 created "2016-06-24" @default.
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- W2061391953 date "2010-07-01" @default.
- W2061391953 modified "2023-09-25" @default.
- W2061391953 title "Comparison of various encoding schemes for tree in Biobjective optimization scenario" @default.
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- W2061391953 doi "https://doi.org/10.1109/sofa.2010.5565595" @default.
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