Matches in SemOpenAlex for { <https://semopenalex.org/work/W2316753357> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2316753357 endingPage "17" @default.
- W2316753357 startingPage "1" @default.
- W2316753357 abstract "Nature-inspired algorithms are recently being appreciated for solving complex optimization and engineering problems. Black hole algorithm is one of the recent nature-inspired algorithms that have obtained inspiration from black hole theory of universe. In this paper, four formulations of multi-objective black hole algorithm have been developed by using combination of weighted objectives, use of secondary storage for managing possible solutions and use of Genetic Algorithm (GA). These formulations are further applied for scheduling jobs on parallel machines while optimizing bi-criteria namely maximum tardiness and weighted flow time. It has been empirically verified that GA based multi-objective Black Hole algorithms leads to better results as compared to their counterparts. Also the use of combination of secondary storage and GA further improves the resulting job sequence. The proposed algorithms are further compared to some of the existing algorithms, and empirically found to be better. The results have been validated by numerical illustrations and statistical tests. Index Terms—Auxiliary archive, Black Hole algorithm, Genetic algorithm, Job scheduling, Nature-inspired algorithm, Tardiness, Weighted flow time." @default.
- W2316753357 created "2016-06-24" @default.
- W2316753357 creator A5007116064 @default.
- W2316753357 creator A5035683760 @default.
- W2316753357 creator A5043636187 @default.
- W2316753357 creator A5075452711 @default.
- W2316753357 date "2016-04-08" @default.
- W2316753357 modified "2023-09-26" @default.
- W2316753357 title "Hybrid Black Hole Algorithm for Bi-Criteria Job Scheduling on Parallel Machines" @default.
- W2316753357 cites W1563737017 @default.
- W2316753357 cites W1595498733 @default.
- W2316753357 cites W180398283 @default.
- W2316753357 cites W1968535060 @default.
- W2316753357 cites W1974895475 @default.
- W2316753357 cites W1987089967 @default.
- W2316753357 cites W1999444561 @default.
- W2316753357 cites W2006785664 @default.
- W2316753357 cites W2009543464 @default.
- W2316753357 cites W2022266309 @default.
- W2316753357 cites W2024766733 @default.
- W2316753357 cites W2030762972 @default.
- W2316753357 cites W2047994336 @default.
- W2316753357 cites W2053900989 @default.
- W2316753357 cites W2056811412 @default.
- W2316753357 cites W2071131938 @default.
- W2316753357 cites W2072453443 @default.
- W2316753357 cites W2084969140 @default.
- W2316753357 cites W2087537958 @default.
- W2316753357 cites W2094172533 @default.
- W2316753357 cites W2104061553 @default.
- W2316753357 cites W2106921250 @default.
- W2316753357 cites W2108617448 @default.
- W2316753357 cites W2114652055 @default.
- W2316753357 cites W2117161788 @default.
- W2316753357 cites W2126105956 @default.
- W2316753357 cites W2153351685 @default.
- W2316753357 cites W2153879578 @default.
- W2316753357 cites W2198098822 @default.
- W2316753357 cites W2963618366 @default.
- W2316753357 cites W43561063 @default.
- W2316753357 cites W98248759 @default.
- W2316753357 doi "https://doi.org/10.5815/ijisa.2016.04.01" @default.
- W2316753357 hasPublicationYear "2016" @default.
- W2316753357 type Work @default.
- W2316753357 sameAs 2316753357 @default.
- W2316753357 citedByCount "4" @default.
- W2316753357 countsByYear W23167533572017 @default.
- W2316753357 countsByYear W23167533572018 @default.
- W2316753357 countsByYear W23167533572019 @default.
- W2316753357 crossrefType "journal-article" @default.
- W2316753357 hasAuthorship W2316753357A5007116064 @default.
- W2316753357 hasAuthorship W2316753357A5035683760 @default.
- W2316753357 hasAuthorship W2316753357A5043636187 @default.
- W2316753357 hasAuthorship W2316753357A5075452711 @default.
- W2316753357 hasBestOaLocation W23167533571 @default.
- W2316753357 hasConcept C11413529 @default.
- W2316753357 hasConcept C126255220 @default.
- W2316753357 hasConcept C206729178 @default.
- W2316753357 hasConcept C33923547 @default.
- W2316753357 hasConcept C41008148 @default.
- W2316753357 hasConceptScore W2316753357C11413529 @default.
- W2316753357 hasConceptScore W2316753357C126255220 @default.
- W2316753357 hasConceptScore W2316753357C206729178 @default.
- W2316753357 hasConceptScore W2316753357C33923547 @default.
- W2316753357 hasConceptScore W2316753357C41008148 @default.
- W2316753357 hasIssue "4" @default.
- W2316753357 hasLocation W23167533571 @default.
- W2316753357 hasOpenAccess W2316753357 @default.
- W2316753357 hasPrimaryLocation W23167533571 @default.
- W2316753357 hasRelatedWork W1507894569 @default.
- W2316753357 hasRelatedWork W1882733036 @default.
- W2316753357 hasRelatedWork W2333698505 @default.
- W2316753357 hasRelatedWork W2351491280 @default.
- W2316753357 hasRelatedWork W2371447506 @default.
- W2316753357 hasRelatedWork W2386767533 @default.
- W2316753357 hasRelatedWork W2546696010 @default.
- W2316753357 hasRelatedWork W2997221951 @default.
- W2316753357 hasRelatedWork W303980170 @default.
- W2316753357 hasRelatedWork W3174582865 @default.
- W2316753357 hasVolume "8" @default.
- W2316753357 isParatext "false" @default.
- W2316753357 isRetracted "false" @default.
- W2316753357 magId "2316753357" @default.
- W2316753357 workType "article" @default.