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Multi-Objective parameter-less population pyramid for solving industrial process planning problems
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DOI：10.1016/j.swevo.2020.100773.png)
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Abstract
En 中文
Evolutionary methods are effective tools for obtaining high-quality results when solving hard practical problems. Linkage learning may increase their effectiveness. One of the state-of-the-art methods that employ linkage learning is the Parameter-less Population Pyramid (P3). P3 is dedicated to solving single-objective problems in discrete domains. Recent research shows that P3 is highly competitive when addressing problems with so-called overlapping blocks, which are typical for practical problems. In this paper, we consider a multi-objective industrial process planning problem that arises from practice and is NP-hard. To handle it, we propose a multi-objective version of P3. The extensive research shows that our proposition outperforms the competing methods for the considered practical problem and typical multi-objective benchmarks.
Keywords:
Multi-objective genetic algorithms
Linkage learning
Parameter-less population pyramid
Process manufacturing optimisation
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