FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3180368194> ?p ?o ?g. }

• W3180368194 endingPage "2710" @default.
• W3180368194 startingPage "2697" @default.
• W3180368194 abstract "Abstract Multi-objective particle swarm optimization algorithms encounter significant challenges when tackling many-objective optimization problems. This is mainly because of the imbalance between convergence and diversity that occurs when increasing the selection pressure. In this paper, a novel adaptive MOPSO (ANMPSO) algorithm based on R2 contribution and adaptive method is developed to improve the performance of MOPSO. First, a new global best solutions selection mechanism with R2 contribution is introduced to select leaders with better diversity and convergence. Second, to obtain a uniform distribution of particles, an adaptive method is used to guide the flight of particles. Third, a re-initialization strategy is proposed to prevent particles from trapping into local optima. Empirical studies on a large number (64 in total) of problem instances have demonstrated that ANMPSO performs well in terms of inverted generational distance and hyper-volume metrics. Experimental studies on the practical application have also revealed that ANMPSO could effectively solve problems in the real world." @default.
• W3180368194 created "2021-07-19" @default.
• W3180368194 creator A5003578876 @default.
• W3180368194 creator A5048487384 @default.
• W3180368194 creator A5071074966 @default.
• W3180368194 creator A5080821486 @default.
• W3180368194 date "2021-07-09" @default.
• W3180368194 modified "2023-10-16" @default.
• W3180368194 title "Multi-objective particle swarm optimization with R2 indicator and adaptive method" @default.
• W3180368194 cites W1493761729 @default.
• W3180368194 cites W1552817324 @default.
• W3180368194 cites W1608317386 @default.
• W3180368194 cites W1985357653 @default.
• W3180368194 cites W2009678220 @default.
• W3180368194 cites W2022485595 @default.
• W3180368194 cites W2024008934 @default.
• W3180368194 cites W2025822274 @default.
• W3180368194 cites W2033007297 @default.
• W3180368194 cites W2069192243 @default.
• W3180368194 cites W2071694551 @default.
• W3180368194 cites W2102365077 @default.
• W3180368194 cites W2106334424 @default.
• W3180368194 cites W2111540240 @default.
• W3180368194 cites W2112912151 @default.
• W3180368194 cites W2126105956 @default.
• W3180368194 cites W2128357515 @default.
• W3180368194 cites W2143381319 @default.
• W3180368194 cites W2156262512 @default.
• W3180368194 cites W2157775618 @default.
• W3180368194 cites W2165171393 @default.
• W3180368194 cites W2166486239 @default.
• W3180368194 cites W2167322292 @default.
• W3180368194 cites W2312339748 @default.
• W3180368194 cites W2343601797 @default.
• W3180368194 cites W2567327143 @default.
• W3180368194 cites W2594575977 @default.
• W3180368194 cites W2606294877 @default.
• W3180368194 cites W2764251381 @default.
• W3180368194 cites W2766133347 @default.
• W3180368194 cites W2768102642 @default.
• W3180368194 cites W2792530480 @default.
• W3180368194 cites W2888338796 @default.
• W3180368194 cites W2951774549 @default.
• W3180368194 cites W2964563965 @default.
• W3180368194 cites W2991219117 @default.
• W3180368194 cites W3035343389 @default.
• W3180368194 cites W3105905833 @default.
• W3180368194 cites W3111868544 @default.
• W3180368194 doi "https://doi.org/10.1007/s40747-021-00445-3" @default.
• W3180368194 hasPublicationYear "2021" @default.
• W3180368194 type Work @default.
• W3180368194 sameAs 3180368194 @default.
• W3180368194 citedByCount "8" @default.
• W3180368194 countsByYear W31803681942021 @default.
• W3180368194 countsByYear W31803681942022 @default.
• W3180368194 countsByYear W31803681942023 @default.
• W3180368194 crossrefType "journal-article" @default.
• W3180368194 hasAuthorship W3180368194A5003578876 @default.
• W3180368194 hasAuthorship W3180368194A5048487384 @default.
• W3180368194 hasAuthorship W3180368194A5071074966 @default.
• W3180368194 hasAuthorship W3180368194A5080821486 @default.
• W3180368194 hasBestOaLocation W31803681941 @default.
• W3180368194 hasConcept C109718341 @default.
• W3180368194 hasConcept C114466953 @default.
• W3180368194 hasConcept C119487961 @default.
• W3180368194 hasConcept C122357587 @default.
• W3180368194 hasConcept C126255220 @default.
• W3180368194 hasConcept C139502532 @default.
• W3180368194 hasConcept C141934464 @default.
• W3180368194 hasConcept C154945302 @default.
• W3180368194 hasConcept C162324750 @default.
• W3180368194 hasConcept C199360897 @default.
• W3180368194 hasConcept C2777303404 @default.
• W3180368194 hasConcept C33923547 @default.
• W3180368194 hasConcept C41008148 @default.
• W3180368194 hasConcept C50522688 @default.
• W3180368194 hasConcept C58758708 @default.
• W3180368194 hasConcept C81917197 @default.
• W3180368194 hasConcept C85617194 @default.
• W3180368194 hasConceptScore W3180368194C109718341 @default.
• W3180368194 hasConceptScore W3180368194C114466953 @default.
• W3180368194 hasConceptScore W3180368194C119487961 @default.
• W3180368194 hasConceptScore W3180368194C122357587 @default.
• W3180368194 hasConceptScore W3180368194C126255220 @default.
• W3180368194 hasConceptScore W3180368194C139502532 @default.
• W3180368194 hasConceptScore W3180368194C141934464 @default.
• W3180368194 hasConceptScore W3180368194C154945302 @default.
• W3180368194 hasConceptScore W3180368194C162324750 @default.
• W3180368194 hasConceptScore W3180368194C199360897 @default.
• W3180368194 hasConceptScore W3180368194C2777303404 @default.
• W3180368194 hasConceptScore W3180368194C33923547 @default.
• W3180368194 hasConceptScore W3180368194C41008148 @default.
• W3180368194 hasConceptScore W3180368194C50522688 @default.
• W3180368194 hasConceptScore W3180368194C58758708 @default.
• W3180368194 hasConceptScore W3180368194C81917197 @default.
• W3180368194 hasConceptScore W3180368194C85617194 @default.
• W3180368194 hasFunder F4320321001 @default.
• W3180368194 hasIssue "5" @default.

• next