FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2607407907> ?p ?o ?g. }

• W2607407907 endingPage "375" @default.
• W2607407907 startingPage "361" @default.
• W2607407907 abstract "Decomposition-based many-objective evolutionary algorithms generally decompose the objective space into multiple subregions with the help of a set of reference vectors. The resulting subregions are fixed since the reference vectors are usually predefined. When the optimization problem has a complicated Pareto front (PF), this decomposition may decrease the algorithm performance. To deal with this problem, this paper proposes a dynamical decomposition strategy. Instead of using predefined reference vectors, solution themselves are used as reference vectors. Thus, they are adapted to the shape of PF automatically. Besides, the subregions are produced one by one through successively bipartitioning the objective space. The resulting subregions are not fixed but dynamically determined by the population solutions as well as the subregions produced previously. Based on this strategy, a solution ranking method, named dynamical-decomposition-based ranking method (DDR), is proposed which can be employed in the mating selection and environmental selection in commonly used algorithm frameworks. Compared with those in the other decomposition-based algorithms, DDR has the following properties: 1) no predefined reference vectors are required; 2) less parameters are involved; and 3) the ranking results can not only be utilized directly to select solutions but also serve as a secondary criterion in traditional Pareto-based algorithms. In this paper, DDR is equipped in two algorithm frameworks for handling many-objective optimization problems. Comparisons with five state-of-the-art algorithms on 31 widely used test problems are carried out to test the performance of the proposed approach. The experimental results have shown the effectiveness of the proposed approach in keeping a good tradeoff between convergence and diversity." @default.
• W2607407907 created "2017-04-28" @default.
• W2607407907 creator A5000546219 @default.
• W2607407907 creator A5051268152 @default.
• W2607407907 creator A5056123187 @default.
• W2607407907 creator A5083554243 @default.
• W2607407907 date "2019-06-01" @default.
• W2607407907 modified "2023-10-16" @default.
• W2607407907 title "Evolutionary Many-Objective Optimization Based on Dynamical Decomposition" @default.
• W2607407907 cites W1544309315 @default.
• W2607407907 cites W1662894842 @default.
• W2607407907 cites W1976159118 @default.
• W2607407907 cites W2008499862 @default.
• W2607407907 cites W2022485595 @default.
• W2607407907 cites W2023685757 @default.
• W2607407907 cites W2024008934 @default.
• W2607407907 cites W2025822274 @default.
• W2607407907 cites W2038420231 @default.
• W2607407907 cites W2040622444 @default.
• W2607407907 cites W2049862811 @default.
• W2607407907 cites W2053900989 @default.
• W2607407907 cites W2058142975 @default.
• W2607407907 cites W2062061003 @default.
• W2607407907 cites W2063375245 @default.
• W2607407907 cites W2067544246 @default.
• W2607407907 cites W2072661909 @default.
• W2607407907 cites W2082357899 @default.
• W2607407907 cites W2085507535 @default.
• W2607407907 cites W2102365077 @default.
• W2607407907 cites W2103476212 @default.
• W2607407907 cites W2104456211 @default.
• W2607407907 cites W2106334424 @default.
• W2607407907 cites W2108968575 @default.
• W2607407907 cites W2126105956 @default.
• W2607407907 cites W2126997347 @default.
• W2607407907 cites W2128357515 @default.
• W2607407907 cites W2133787071 @default.
• W2607407907 cites W2134152443 @default.
• W2607407907 cites W2135974394 @default.
• W2607407907 cites W2136234451 @default.
• W2607407907 cites W2143185749 @default.
• W2607407907 cites W2143381319 @default.
• W2607407907 cites W2148933727 @default.
• W2607407907 cites W2149847160 @default.
• W2607407907 cites W2154693991 @default.
• W2607407907 cites W2293460382 @default.
• W2607407907 cites W2312339748 @default.
• W2607407907 cites W2326149522 @default.
• W2607407907 cites W2343601797 @default.
• W2607407907 cites W2466060750 @default.
• W2607407907 cites W2469950730 @default.
• W2607407907 cites W2519112510 @default.
• W2607407907 cites W2563621803 @default.
• W2607407907 cites W2570235502 @default.
• W2607407907 cites W2582096828 @default.
• W2607407907 cites W2599937626 @default.
• W2607407907 cites W2735649024 @default.
• W2607407907 cites W2746947413 @default.
• W2607407907 cites W2747987652 @default.
• W2607407907 cites W2764251381 @default.
• W2607407907 cites W2765722058 @default.
• W2607407907 cites W3037787799 @default.
• W2607407907 cites W3122481131 @default.
• W2607407907 cites W760913798 @default.
• W2607407907 doi "https://doi.org/10.1109/tevc.2018.2865590" @default.
• W2607407907 hasPublicationYear "2019" @default.
• W2607407907 type Work @default.
• W2607407907 sameAs 2607407907 @default.
• W2607407907 citedByCount "78" @default.
• W2607407907 countsByYear W26074079072019 @default.
• W2607407907 countsByYear W26074079072020 @default.
• W2607407907 countsByYear W26074079072021 @default.
• W2607407907 countsByYear W26074079072022 @default.
• W2607407907 countsByYear W26074079072023 @default.
• W2607407907 crossrefType "journal-article" @default.
• W2607407907 hasAuthorship W2607407907A5000546219 @default.
• W2607407907 hasAuthorship W2607407907A5051268152 @default.
• W2607407907 hasAuthorship W2607407907A5056123187 @default.
• W2607407907 hasAuthorship W2607407907A5083554243 @default.
• W2607407907 hasConcept C105902424 @default.
• W2607407907 hasConcept C124681953 @default.
• W2607407907 hasConcept C126255220 @default.
• W2607407907 hasConcept C154945302 @default.
• W2607407907 hasConcept C159149176 @default.
• W2607407907 hasConcept C18903297 @default.
• W2607407907 hasConcept C33923547 @default.
• W2607407907 hasConcept C41008148 @default.
• W2607407907 hasConcept C86803240 @default.
• W2607407907 hasConceptScore W2607407907C105902424 @default.
• W2607407907 hasConceptScore W2607407907C124681953 @default.
• W2607407907 hasConceptScore W2607407907C126255220 @default.
• W2607407907 hasConceptScore W2607407907C154945302 @default.
• W2607407907 hasConceptScore W2607407907C159149176 @default.
• W2607407907 hasConceptScore W2607407907C18903297 @default.
• W2607407907 hasConceptScore W2607407907C33923547 @default.
• W2607407907 hasConceptScore W2607407907C41008148 @default.
• W2607407907 hasConceptScore W2607407907C86803240 @default.
• W2607407907 hasFunder F4320321001 @default.

• next