Matches in SemOpenAlex for { <https://semopenalex.org/work/W4213433964> ?p ?o ?g. }
- W4213433964 endingPage "1788" @default.
- W4213433964 startingPage "1776" @default.
- W4213433964 abstract "Complex network clustering problems have been gained great popularity and widespread researches recently, and plentiful optimization algorithms are aimed at this problem. Among these methods, the optimization methods aiming at multiple objectives can break the limitations (e.g., instability) of those optimizing single objective. However, one shortcoming stands out that these methods cannot balance the exploration and exploitation well. In another sentence, it fails to optimize solutions on the basis of the good solutions obtained so far. Inspired by nature, a new optimized method, named multi-objective discrete moth-flame optimization (DMFO) method is proposed to achieve such a tradeoff. Specifically, we redefine the simple flame generation (SFG) and the spiral flight search (SFS) processes with network topology structure to balance exploration and exploitation. Moreover, we present the DMFO in detail utilizing a Tchebycheff decomposition method with an <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink><tex-math notation=LaTeX>$l_2$</tex-math></inline-formula> -norm constraint on the direction vector (2-Tch). Besides that, experiments are taken on both synthetic and real-world networks and the results demonstrate the high efficiency and promises of our DMFO when tackling dividing complex networks." @default.
- W4213433964 created "2022-02-25" @default.
- W4213433964 creator A5005263452 @default.
- W4213433964 creator A5006899767 @default.
- W4213433964 creator A5039476828 @default.
- W4213433964 creator A5061689364 @default.
- W4213433964 creator A5062375227 @default.
- W4213433964 creator A5077619274 @default.
- W4213433964 creator A5086236078 @default.
- W4213433964 date "2022-05-01" @default.
- W4213433964 modified "2023-10-14" @default.
- W4213433964 title "A Discrete Moth-Flame Optimization With an $l_2$-Norm Constraint for Network Clustering" @default.
- W4213433964 cites W1497990247 @default.
- W4213433964 cites W1971421925 @default.
- W4213433964 cites W1985625141 @default.
- W4213433964 cites W2038920443 @default.
- W4213433964 cites W2065179205 @default.
- W4213433964 cites W2089458547 @default.
- W4213433964 cites W2094234423 @default.
- W4213433964 cites W2096166399 @default.
- W4213433964 cites W2097464974 @default.
- W4213433964 cites W2103704311 @default.
- W4213433964 cites W2108031918 @default.
- W4213433964 cites W2120043163 @default.
- W4213433964 cites W2125213524 @default.
- W4213433964 cites W2143381319 @default.
- W4213433964 cites W2155167324 @default.
- W4213433964 cites W2169490594 @default.
- W4213433964 cites W2171552940 @default.
- W4213433964 cites W2228765530 @default.
- W4213433964 cites W2279005051 @default.
- W4213433964 cites W2330471763 @default.
- W4213433964 cites W2466134622 @default.
- W4213433964 cites W2513970330 @default.
- W4213433964 cites W2517600007 @default.
- W4213433964 cites W2522228482 @default.
- W4213433964 cites W2523540531 @default.
- W4213433964 cites W2563039760 @default.
- W4213433964 cites W2566207299 @default.
- W4213433964 cites W2592380430 @default.
- W4213433964 cites W2605810061 @default.
- W4213433964 cites W2613771876 @default.
- W4213433964 cites W2614053601 @default.
- W4213433964 cites W2616650140 @default.
- W4213433964 cites W2747781258 @default.
- W4213433964 cites W2766252508 @default.
- W4213433964 cites W2805552432 @default.
- W4213433964 cites W2885713120 @default.
- W4213433964 cites W2896014807 @default.
- W4213433964 cites W2902191103 @default.
- W4213433964 cites W2910559764 @default.
- W4213433964 cites W2911319480 @default.
- W4213433964 cites W2919979744 @default.
- W4213433964 cites W2926960342 @default.
- W4213433964 cites W2936227260 @default.
- W4213433964 cites W2964102700 @default.
- W4213433964 cites W3014974411 @default.
- W4213433964 cites W3089511768 @default.
- W4213433964 cites W3114893929 @default.
- W4213433964 cites W3125412077 @default.
- W4213433964 cites W3134651880 @default.
- W4213433964 cites W3144393856 @default.
- W4213433964 cites W341879454 @default.
- W4213433964 cites W883434633 @default.
- W4213433964 doi "https://doi.org/10.1109/tnse.2022.3153095" @default.
- W4213433964 hasPublicationYear "2022" @default.
- W4213433964 type Work @default.
- W4213433964 citedByCount "3" @default.
- W4213433964 countsByYear W42134339642022 @default.
- W4213433964 countsByYear W42134339642023 @default.
- W4213433964 crossrefType "journal-article" @default.
- W4213433964 hasAuthorship W4213433964A5005263452 @default.
- W4213433964 hasAuthorship W4213433964A5006899767 @default.
- W4213433964 hasAuthorship W4213433964A5039476828 @default.
- W4213433964 hasAuthorship W4213433964A5061689364 @default.
- W4213433964 hasAuthorship W4213433964A5062375227 @default.
- W4213433964 hasAuthorship W4213433964A5077619274 @default.
- W4213433964 hasAuthorship W4213433964A5086236078 @default.
- W4213433964 hasConcept C111919701 @default.
- W4213433964 hasConcept C11413529 @default.
- W4213433964 hasConcept C124681953 @default.
- W4213433964 hasConcept C126255220 @default.
- W4213433964 hasConcept C137836250 @default.
- W4213433964 hasConcept C154945302 @default.
- W4213433964 hasConcept C17744445 @default.
- W4213433964 hasConcept C18903297 @default.
- W4213433964 hasConcept C191795146 @default.
- W4213433964 hasConcept C199539241 @default.
- W4213433964 hasConcept C199845137 @default.
- W4213433964 hasConcept C2524010 @default.
- W4213433964 hasConcept C2776036281 @default.
- W4213433964 hasConcept C33923547 @default.
- W4213433964 hasConcept C41008148 @default.
- W4213433964 hasConcept C73555534 @default.
- W4213433964 hasConcept C86803240 @default.
- W4213433964 hasConceptScore W4213433964C111919701 @default.
- W4213433964 hasConceptScore W4213433964C11413529 @default.
- W4213433964 hasConceptScore W4213433964C124681953 @default.