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A Multi-objective Memetic Algorithm for the Job-Shop Scheduling Problem

A multi-objective memetic algorithm for the job-shop scheduling problem
descriptionPublicationkeyboard_double_arrow_right Article 25 Apr 2012 English Publisher:Springer Science and Business Media LLCJournal:Operational Research, volume 13, pages 233-250 (issn: 1109-2858, eissn: 1866-1505, Copyright policy )
Authors: Frutos, Mariano; Tohme, Fernando Abel;

doi: 10.1007/s12351-012-0125-y

handle: 11336/2004

A Multi-objective Memetic Algorithm for the Job-Shop Scheduling Problem

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Keywords

Optimization, multi-objective memetic algorithm, Deterministic scheduling theory in operations research, Production, Multi-Objective Memetic Algorithm, Approximation methods and heuristics in mathematical programming, multi-objective optimization, job-shop scheduling problem, https://purl.org/becyt/ford/1.2, production, https://purl.org/becyt/ford/1, Job-Shop Scheduling Problem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Green