Matches in SemOpenAlex for { <https://semopenalex.org/work/W2333424845> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2333424845 endingPage "869" @default.
- W2333424845 startingPage "850" @default.
- W2333424845 abstract "Effective and efficient implementation of intelligent and recently emerged networked manufacturing systems requires enterprise-level integration. The first step in this direction is to integrate the manufacturing functions such as process planning and scheduling for multi-jobs in order to generate optimal or near optimal solutions. Addressed in this paper is multi-objective optimisation in the context of a network-based manufacturing system to optimise multiple objectives, i.e. minimisation of makespan and minimisation of variation of workload, simultaneously. This paper introduces a mathematical model for calculating the above-mentioned objectives with consideration of alternative machines, as well as tools and tool approach directions. The authors propose a new modified block-based genetic algorithm MBBGA and modified non-dominated sorting genetic algorithm MNSGA-II to resolve the above-mentioned complex problem and compare the proposed algorithms’ performance and their effectiveness with the non-dominated sorting genetic algorithm NSGA-II. An illustrative example with complex scenarios is carried out to demonstrate the feasibility of the proposed MBBGA and MNSGA-II. The experimental results presented show that the proposed algorithms perform better in comparison with NSGA-II." @default.
- W2333424845 created "2016-06-24" @default.
- W2333424845 creator A5033480447 @default.
- W2333424845 creator A5061547847 @default.
- W2333424845 creator A5070519744 @default.
- W2333424845 date "2016-03-31" @default.
- W2333424845 modified "2023-09-23" @default.
- W2333424845 title "Intelligent search techniques for network-based manufacturing systems: multi-objective formulation and solutions" @default.
- W2333424845 cites W115635233 @default.
- W2333424845 cites W1498091362 @default.
- W2333424845 cites W1509136273 @default.
- W2333424845 cites W1803279507 @default.
- W2333424845 cites W1965242075 @default.
- W2333424845 cites W1965600974 @default.
- W2333424845 cites W1970745314 @default.
- W2333424845 cites W1972259977 @default.
- W2333424845 cites W1976630792 @default.
- W2333424845 cites W1983028964 @default.
- W2333424845 cites W1983921448 @default.
- W2333424845 cites W1988545120 @default.
- W2333424845 cites W1990190215 @default.
- W2333424845 cites W1991799141 @default.
- W2333424845 cites W1993209235 @default.
- W2333424845 cites W2001367095 @default.
- W2333424845 cites W2016100316 @default.
- W2333424845 cites W2030627905 @default.
- W2333424845 cites W2031503685 @default.
- W2333424845 cites W2045554246 @default.
- W2333424845 cites W2051934525 @default.
- W2333424845 cites W2052959982 @default.
- W2333424845 cites W2055787286 @default.
- W2333424845 cites W2066290479 @default.
- W2333424845 cites W2068757798 @default.
- W2333424845 cites W2075136187 @default.
- W2333424845 cites W2077666004 @default.
- W2333424845 cites W2078101809 @default.
- W2333424845 cites W2078670308 @default.
- W2333424845 cites W2083729565 @default.
- W2333424845 cites W2091970056 @default.
- W2333424845 cites W2116661285 @default.
- W2333424845 cites W2122068163 @default.
- W2333424845 cites W2126105956 @default.
- W2333424845 cites W2134112181 @default.
- W2333424845 cites W2135734900 @default.
- W2333424845 cites W2156653030 @default.
- W2333424845 cites W2166980890 @default.
- W2333424845 doi "https://doi.org/10.1080/0951192x.2015.1099073" @default.
- W2333424845 hasPublicationYear "2016" @default.
- W2333424845 type Work @default.
- W2333424845 sameAs 2333424845 @default.
- W2333424845 citedByCount "14" @default.
- W2333424845 countsByYear W23334248452017 @default.
- W2333424845 countsByYear W23334248452018 @default.
- W2333424845 countsByYear W23334248452019 @default.
- W2333424845 countsByYear W23334248452020 @default.
- W2333424845 countsByYear W23334248452021 @default.
- W2333424845 countsByYear W23334248452022 @default.
- W2333424845 countsByYear W23334248452023 @default.
- W2333424845 crossrefType "journal-article" @default.
- W2333424845 hasAuthorship W2333424845A5033480447 @default.
- W2333424845 hasAuthorship W2333424845A5061547847 @default.
- W2333424845 hasAuthorship W2333424845A5070519744 @default.
- W2333424845 hasConcept C117671659 @default.
- W2333424845 hasConcept C127413603 @default.
- W2333424845 hasConcept C13736549 @default.
- W2333424845 hasConcept C201995342 @default.
- W2333424845 hasConcept C41008148 @default.
- W2333424845 hasConceptScore W2333424845C117671659 @default.
- W2333424845 hasConceptScore W2333424845C127413603 @default.
- W2333424845 hasConceptScore W2333424845C13736549 @default.
- W2333424845 hasConceptScore W2333424845C201995342 @default.
- W2333424845 hasConceptScore W2333424845C41008148 @default.
- W2333424845 hasIssue "8" @default.
- W2333424845 hasLocation W23334248451 @default.
- W2333424845 hasOpenAccess W2333424845 @default.
- W2333424845 hasPrimaryLocation W23334248451 @default.
- W2333424845 hasRelatedWork W1457512362 @default.
- W2333424845 hasRelatedWork W1559055910 @default.
- W2333424845 hasRelatedWork W2349386727 @default.
- W2333424845 hasRelatedWork W2350003772 @default.
- W2333424845 hasRelatedWork W2350180741 @default.
- W2333424845 hasRelatedWork W2350335610 @default.
- W2333424845 hasRelatedWork W2379143679 @default.
- W2333424845 hasRelatedWork W2387104463 @default.
- W2333424845 hasRelatedWork W2390008413 @default.
- W2333424845 hasRelatedWork W2899084033 @default.
- W2333424845 hasVolume "29" @default.
- W2333424845 isParatext "false" @default.
- W2333424845 isRetracted "false" @default.
- W2333424845 magId "2333424845" @default.
- W2333424845 workType "article" @default.