Quantum-Inspired Evolutionary Multiobjective Optimization for a Dynamic Production Scheduling Approach

Autor: Fiasche, Maurizio, Liberati, Diego E., Gualandi, Stefano, Taisch, Marco

Publikováno v: Smart innovation, systems and technologies
69 (2018): 191–201. doi:10.1007/978-3-319-56904-8_19
info:cnr-pdr/source/autori:Fiasche, Maurizio; Liberati, Diego E.; Gualandi, Stefano; Taisch, Marco/titolo:Quantum-Inspired Evolutionary Multiobjective Optimization for a Dynamic Production Scheduling Approach/doi:10.1007%2F978-3-319-56904-8_19/rivista:Smart innovation, systems and technologies (Print)/anno:2018/pagina_da:191/pagina_a:201/intervallo_pagine:191–201/volume:69

The Production Scheduling is an important phase in a manufacturing system, where the aim is to improve the productivity of one or more factories. Finding an optimal solution to scheduling problems means to approach complex combinatorial optimization

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