Abstract: An increasing number of machine learning algorithms are being applied to multi-objective optimization problems (MOPs), yielding promising results. However, many of these algorithms suffer ...
Abstract: Energy conservation has become a key concern in job shop manufacturing, where machines consume considerable energy even during idle periods. Traditional scheduling methods often prioritize ...
To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
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