Evolutionary Process for Engineering Optimization in Manufacturing Applications: Fine Brushworks of Single-Objective to Multi-Objective/Many-Objective Optimization

نویسندگان

چکیده

Single-objective to multi-objective/many-objective optimization (SMO) is a new paradigm in the evolutionary transfer (ETO), since there are only “1 + 4” pioneering works on SMOs so far, that is, “1” continuous and firstly performed by Professors L. Feng H.D. Wang, “4” proposed our group for discrete cases. As computational paradigm, theoretical insights into relatively rare now. Therefore, we present proposal fine brushworks of advances here, which based case study permutation flow shop scheduling problem (PFSP) manufacturing systems via lenses building blocks, transferring gaps, auxiliary task asynchronous rhythms. The empirical studies well-studied benchmarks enrich rough strokes guide future designs practices ETO scheduling, even processes engineering other

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ژورنال

عنوان ژورنال: Processes

سال: 2023

ISSN: ['2227-9717']

DOI: https://doi.org/10.3390/pr11030693