Yadian Geng1, Junqing Li1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 241-266, 2023, DOI:10.32604/cmes.2022.020307
- 24 August 2022
Abstract To solve the distributed hybrid flow shop scheduling problem (DHFS) in raw glass manufacturing systems, we
investigated an improved hyperplane assisted evolutionary algorithm (IhpaEA). Two objectives are simultaneously
considered, namely, the maximum completion time and the total energy consumptions. Firstly, each solution
is encoded by a three-dimensional vector, i.e., factory assignment, scheduling, and machine assignment. Subsequently, an efficient initialization strategy embeds two heuristics are developed, which can increase the diversity of
the population. Then, to improve the global search abilities, a Pareto-based crossover operator is designed to take
more advantage of non-dominated solutions. Furthermore, a More >
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