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- W2281036862 abstract "A method to generate various size tunable benchmarks for multi-objective AI planning with a known Pareto Front has been recently proposed in order to provide a wide range of Pareto Front shapes and different magnitudes of difficulty. The performance of the Pareto-based multi-objective evolutionary planner DaE $$_{text {YAHSP}}$$ are evaluated on some large instances with singular Pareto Front shapes, and compared to those of the single-objective aggregation-based approach." @default.
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- W2281036862 date "2015-01-01" @default.
- W2281036862 modified "2023-10-18" @default.
- W2281036862 title "Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve" @default.
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- W2281036862 doi "https://doi.org/10.1007/978-3-319-19084-6_25" @default.
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