FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2762281330> ?p ?o ?g. }

• W2762281330 endingPage "278" @default.
• W2762281330 startingPage "265" @default.
• W2762281330 abstract "Many-objective optimization problems (MaOPs) are vital and challenging in real-world applications. Existing evolutionary algorithms mostly produce an approximate Pareto-optimal set using new dominance relations, dimensionality reduction, objective decomposition, and set-based evolution. In this paper, we propose a mutation operator guided by preferred regions to improve an existing set-based evolutionary many-objective optimization algorithm that integrates preferences. In the proposed mutation operator, optimal solutions in a preferred region are first chosen to form a reference set; then for each solution within the individual to be mutated, an optimal solution from the reference set is specified as its reference point; finally, the solution is mutated towards the preferred region via an adaptive Gaussian disturbance to accelerate the evolution, and thus an approximate Pareto-optimal set with high performances is obtained. We apply the proposed method to 21 instances of seven benchmark MaOPs, and the experimental results empirically demonstrate its superiority." @default.
• W2762281330 created "2017-10-20" @default.
• W2762281330 creator A5002526294 @default.
• W2762281330 creator A5013598163 @default.
• W2762281330 creator A5049241488 @default.
• W2762281330 creator A5077623520 @default.
• W2762281330 date "2017-10-03" @default.
• W2762281330 modified "2023-10-16" @default.
• W2762281330 title "A mutation operator guided by preferred regions for set-based many-objective evolutionary optimization" @default.
• W2762281330 cites W1508875897 @default.
• W2762281330 cites W1607221389 @default.
• W2762281330 cites W1662894842 @default.
• W2762281330 cites W1733107040 @default.
• W2762281330 cites W1868857639 @default.
• W2762281330 cites W1968219458 @default.
• W2762281330 cites W1980786306 @default.
• W2762281330 cites W2005957110 @default.
• W2762281330 cites W2013064905 @default.
• W2762281330 cites W2018712218 @default.
• W2762281330 cites W2022485595 @default.
• W2762281330 cites W2036081152 @default.
• W2762281330 cites W2067544246 @default.
• W2762281330 cites W2071694551 @default.
• W2762281330 cites W2072661909 @default.
• W2762281330 cites W2090797242 @default.
• W2762281330 cites W2094595720 @default.
• W2762281330 cites W2102365077 @default.
• W2762281330 cites W2108968575 @default.
• W2762281330 cites W2120091775 @default.
• W2762281330 cites W2128357515 @default.
• W2762281330 cites W2133275519 @default.
• W2762281330 cites W2134152443 @default.
• W2762281330 cites W2135416068 @default.
• W2762281330 cites W2136495137 @default.
• W2762281330 cites W2136680909 @default.
• W2762281330 cites W2143381319 @default.
• W2762281330 cites W2146619110 @default.
• W2762281330 cites W2201640825 @default.
• W2762281330 cites W2278123559 @default.
• W2762281330 cites W2288857346 @default.
• W2762281330 cites W2313094906 @default.
• W2762281330 cites W2343601797 @default.
• W2762281330 cites W2344880386 @default.
• W2762281330 cites W2430564265 @default.
• W2762281330 cites W2521918431 @default.
• W2762281330 cites W2537410798 @default.
• W2762281330 cites W2546584549 @default.
• W2762281330 cites W2550536042 @default.
• W2762281330 cites W2558150887 @default.
• W2762281330 cites W2563621803 @default.
• W2762281330 cites W2588272390 @default.
• W2762281330 cites W4289253811 @default.
• W2762281330 cites W760913798 @default.
• W2762281330 cites W906609756 @default.
• W2762281330 doi "https://doi.org/10.1007/s40747-017-0058-4" @default.
• W2762281330 hasPublicationYear "2017" @default.
• W2762281330 type Work @default.
• W2762281330 sameAs 2762281330 @default.
• W2762281330 citedByCount "4" @default.
• W2762281330 countsByYear W27622813302018 @default.
• W2762281330 countsByYear W27622813302019 @default.
• W2762281330 countsByYear W27622813302020 @default.
• W2762281330 countsByYear W27622813302022 @default.
• W2762281330 crossrefType "journal-article" @default.
• W2762281330 hasAuthorship W2762281330A5002526294 @default.
• W2762281330 hasAuthorship W2762281330A5013598163 @default.
• W2762281330 hasAuthorship W2762281330A5049241488 @default.
• W2762281330 hasAuthorship W2762281330A5077623520 @default.
• W2762281330 hasBestOaLocation W27622813301 @default.
• W2762281330 hasConcept C104317684 @default.
• W2762281330 hasConcept C105902424 @default.
• W2762281330 hasConcept C111030470 @default.
• W2762281330 hasConcept C126255220 @default.
• W2762281330 hasConcept C13280743 @default.
• W2762281330 hasConcept C137635306 @default.
• W2762281330 hasConcept C137836250 @default.
• W2762281330 hasConcept C139502532 @default.
• W2762281330 hasConcept C154945302 @default.
• W2762281330 hasConcept C158448853 @default.
• W2762281330 hasConcept C159149176 @default.
• W2762281330 hasConcept C17020691 @default.
• W2762281330 hasConcept C177264268 @default.
• W2762281330 hasConcept C185592680 @default.
• W2762281330 hasConcept C185798385 @default.
• W2762281330 hasConcept C199360897 @default.
• W2762281330 hasConcept C205649164 @default.
• W2762281330 hasConcept C33923547 @default.
• W2762281330 hasConcept C41008148 @default.
• W2762281330 hasConcept C501734568 @default.
• W2762281330 hasConcept C55493867 @default.
• W2762281330 hasConcept C68781425 @default.
• W2762281330 hasConcept C86339819 @default.
• W2762281330 hasConceptScore W2762281330C104317684 @default.
• W2762281330 hasConceptScore W2762281330C105902424 @default.
• W2762281330 hasConceptScore W2762281330C111030470 @default.
• W2762281330 hasConceptScore W2762281330C126255220 @default.
• W2762281330 hasConceptScore W2762281330C13280743 @default.
• W2762281330 hasConceptScore W2762281330C137635306 @default.

• next