About: Artificial Bee Colony Algorithm Applied to Dynamic Flexible Job Shop Problems

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Artificial Bee Colony Algorithm Applied to Dynamic Flexible Job Shop Problems Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Artificial Bee Colony Algorithm Applied to Dynamic Flexible Job Shop Problems
Creator	Martins, Miguel Vieira, Susana Coito, Tiago Ferreira, Inês Figueiredo, João Firme, Bernardo Sousa, João Viegas, Joaquim
source	PMC
abstract	This work introduces a scheduling technique using the Artificial Bee Colony (ABC) algorithm for static and dynamic environments. The ABC algorithm combines different initial populations and generation of new food source methods, including a moving operations technique and a local search method increasing the variable neighbourhood search that, as a result, improves the solution quality. The algorithm is validated and its performance is tested in a static environment in 9 instances of Flexible Job Shop Problem (FJSP) from Brandimarte dataset obtaining in 5 instances the best known for the instance under study and a new best known in instance mk05. The work also focus in developing tools to process the information on the factory through the development of solutions when facing disruptions and dynamic events. Three real-time events are considered on the dynamic environment: jobs cancellation, operations cancellation and new jobs arrival. Two scenarios are studied for each real-time event: the first situation considers the minimization of the disruption between the previous schedule and the new one and the second situation generates a completely new schedule after the occurrence. Summarizing, six adaptations of ABC algorithm are created to solve dynamic environment scenarios and their performances are compared with the benchmarks of two case studies outperforming both.
has issue date	2020-05-18(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50146-4_19
has license	no-cc
sha1sum (hex)	a6d48f6c1addf3329d3a39273a80735245539b0e
schema:url	https://doi.org/10.1007/978-3-030-50146-4_19
resource representing a document's title	Artificial Bee Colony Algorithm Applied to Dynamic Flexible Job Shop Problems
has PubMed Central identifier	PMC7274337
schema:publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems
resource representing a document's body	covid:a6d48f6c1addf3329d3a39273a80735245539b0e#body_text
is schema:about of	named entity 'solution' named entity 'introduces' named entity 'development' named entity 'process' named entity 'schedule' named entity 'generates' named entity 'adaptations' named entity 'events' named entity 'Applied' named entity 'ITS' named entity 'WORK' named entity 'DYNAMIC' named entity 'JOBS' named entity 'VARIABLE' named entity 'ENVIRONMENTS' named entity 'STATIC' named entity 'SOLUTION' named entity 'TECHNIQUE' named entity 'CONSIDERED' named entity 'USING' named entity 'operations' named entity 'schedule' named entity 'tested' named entity 'variable' named entity 'ABC' named entity 'Artificial' named entity 'moving' named entity 'operations' named entity 'algorithm' named entity 'technique' named entity 'algorithm' named entity 'ABC' named entity 'Job Shop' named entity 'Job Shop' named entity 'collaborative systems' named entity 'finite set' named entity 'benchmark 1' named entity 'fourth industrial revolution' named entity 'Local Search' named entity 'Benchmark 1' named entity 'ABC' named entity 'smart manufacturing' named entity 'American Society for Quality' named entity 'starting time' named entity 'JSSP' named entity 'makespan' named entity 'ABC' named entity 'algorithm' named entity 'makespan' named entity 'algorithm' named entity 'objective function' named entity 'ABC' named entity 'makespan' named entity 'makespan' named entity 'algorithm' named entity 'ABC' named entity 'ABC' named entity 'ABC' named entity 'unexpected arrival' named entity 'ABC' named entity 'starting time' named entity 'JSSP' named entity 'makespan' named entity 'ABC' named entity 'ABC' named entity 'ABC' named entity 'PWC' named entity 'ABC' named entity 'Industry 4.0' named entity 'makespan' named entity 'honey bee' named entity 'starting time' named entity 'benchmark 1' named entity 'algorithm' named entity 'Industry 4.0' named entity 'makespan'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software