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- W1569106955 abstract "This research emphasizes explicit building block (BB) based MOEA performance with detailed symbolic representations. An explicit BB-based MOEA for solving constrained and real-world multiple objective problems (MOPs) is developed, the multiobjective messy genetic algorithm II (MOMGA-II) in order to validate symbolic BB concepts. This algorithm provides insight into solving difficult NP-complete MOPs that are generally not realized through the use of implicit BB-based MOEA approaches. Specific constrained integer problem examples include advanced logistics and modified knapsack problems. A primary focus is on generic repair mechanisms for generating feasible solutions per generation. The insight provided is necessary to increase the effectiveness and efficiency over all possible MOEA approaches." @default.
- W1569106955 created "2016-06-24" @default.
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- W1569106955 date "2004-07-09" @default.
- W1569106955 modified "2023-09-23" @default.
- W1569106955 title "Explicit bvilding-block multiobjective evolutionary algorithms for NPC problems" @default.
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- W1569106955 doi "https://doi.org/10.1109/cec.2003.1299428" @default.
- W1569106955 hasPublicationYear "2004" @default.
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