An understanding of algorithms and data structures will aid the implementation of data science or machine learning methods in practice. Machine learning emphasizes prediction, scalability, and ...
Abstract: The Kriging model has been widely used in regression-based surrogate-assisted evolutionary algorithms (SAEAs) for expensive multiobjective optimization by using one model to approximate one ...
Due to the complexity and dynamism of real-world needs, traditional vehicle routing solutions usually do not sufficiently consider implicit user preferences, leading to low acceptance and reduced ...
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