Abstract: Non-dominated sorting genetic algorithms are recognized for their robustness and flexibility in optimizing renewable energy systems, surpassing traditional methods by handling multiple ...

Description: Generates a list of random integers within a specified range. This distribution is useful for testing sorting algorithms under average, everyday conditions where the input order is ...

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Abstract: This research work introduces a clustering-based in-place sorting algorithm, cluster sort. It is designed in such a way that it improves sorting efficiency by using data locality. It works ...