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EmoPyLab: A Tensor-Native, Hardware-Accelerated Laboratory for High-Throughput Benchmarking and Decision-Making in Multi/Many-Objective Optimization
This paper presents \textit{EmoPyLab}, an open-source, tensor-native Python framework for high-throughput benchmarking, analysis, and multi-criteria decision-making in multi- and many-objective optimization ($M \ge 2$). Traditional evolutionary toolchains rely on object-oriented Array-of-Structures
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