Multi-objective genetic algorithm for energy-efficient job shop scheduling

Gökan May; Bojan Stahl; Marco Taisch; Vittal Prabhu

doi:10.1080/00207543.2015.1005248

Multi-objective genetic algorithm for energy-efficient job shop scheduling

Gökan May
, Bojan Stahl
, Marco Taisch
, Vittal Prabhu

Pennsylvania State University

Producción científica: Article › revisión exhaustiva

Idioma original	English
Páginas (desde-hasta)	7071-7089
Número de páginas	19
Publicación	International Journal of Production Research
Volumen	53
N.º	23
DOI	https://doi.org/10.1080/00207543.2015.1005248
Estado	Published - dic 2 2015
Publicado de forma externa	Sí

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Affordable and clean energy
Industry innovation and infrastructure
Responsible consumption and production
Partnerships

ASJC Scopus Subject Areas

Strategy and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

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10.1080/00207543.2015.1005248

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KW - energy efficiency

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KW - machine control policies

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Multi-objective genetic algorithm for energy-efficient job shop scheduling

ODS de las Naciones Unidas

ASJC Scopus Subject Areas

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