As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma ...

In engineering systems design, theoretical deterministic solutions can be hardly applied directly to real-world scenarios. Basically, this is due to manufacturing limitations and environmental ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

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Abstract: Dynamic multi-objective optimization problems (DMOPs) are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...

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Abstract: As the initial phase of evolutionary multi-objective optimization (EMO), population initialization is always essential for subsequent evolutionary processes aimed at solving multi-objective ...

With the increase of the scale of the micro-grid system, the optimization of microgrid power dispatching becomes a challenging issue. From the perspective of algorithm design, traditional heuristic ...