Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016519854> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2016519854 endingPage "1723" @default.
- W2016519854 startingPage "1705" @default.
- W2016519854 abstract "Abstract Recently, global optimization methods using chaotic dynamics have been investigated. In those methods, it is significant what kind of chaotic dynamical system is selected. However, the system used in most existing methods for generating a chaotic sequence is sometimes not suitable for solving the problem because the system often has some windows and a generated sequence tends to overconcentrate around the boundary of the feasible region. In this paper, in order to improve them, we propose a new dynamical system which generates a chaotic sequence by the steepest descent method for minimizing an objective function with additional sinusoidal perturbation terms. In addition, we theoretically show the sufficient condition under which an approximated dynamical system of the proposed model at any local minimum or the global minimum is chaotic. Through numerical experiments we analyze properties of the proposed model for optimization to overcome these drawbacks. Furthermore, we compare the proposed method with the existing method through computational experiments by applying them to some global optimization problems." @default.
- W2016519854 created "2016-06-24" @default.
- W2016519854 creator A5007884033 @default.
- W2016519854 creator A5018818545 @default.
- W2016519854 creator A5070728471 @default.
- W2016519854 date "2009-11-01" @default.
- W2016519854 modified "2023-09-27" @default.
- W2016519854 title "Chaos generator exploiting a gradient model with sinusoidal perturbations for global optimization" @default.
- W2016519854 cites W1994867044 @default.
- W2016519854 cites W2023312989 @default.
- W2016519854 cites W2024306217 @default.
- W2016519854 cites W2024760920 @default.
- W2016519854 cites W2042170765 @default.
- W2016519854 cites W2043634669 @default.
- W2016519854 cites W2058791052 @default.
- W2016519854 cites W2059759836 @default.
- W2016519854 cites W2062238863 @default.
- W2016519854 cites W2069534357 @default.
- W2016519854 cites W2070181584 @default.
- W2016519854 cites W2076998221 @default.
- W2016519854 cites W2077338021 @default.
- W2016519854 cites W2082713402 @default.
- W2016519854 cites W2142605797 @default.
- W2016519854 doi "https://doi.org/10.1016/j.chaos.2009.03.088" @default.
- W2016519854 hasPublicationYear "2009" @default.
- W2016519854 type Work @default.
- W2016519854 sameAs 2016519854 @default.
- W2016519854 citedByCount "16" @default.
- W2016519854 countsByYear W20165198542012 @default.
- W2016519854 countsByYear W20165198542013 @default.
- W2016519854 countsByYear W20165198542014 @default.
- W2016519854 countsByYear W20165198542015 @default.
- W2016519854 countsByYear W20165198542016 @default.
- W2016519854 countsByYear W20165198542017 @default.
- W2016519854 countsByYear W20165198542018 @default.
- W2016519854 countsByYear W20165198542020 @default.
- W2016519854 crossrefType "journal-article" @default.
- W2016519854 hasAuthorship W2016519854A5007884033 @default.
- W2016519854 hasAuthorship W2016519854A5018818545 @default.
- W2016519854 hasAuthorship W2016519854A5070728471 @default.
- W2016519854 hasConcept C121332964 @default.
- W2016519854 hasConcept C154945302 @default.
- W2016519854 hasConcept C163258240 @default.
- W2016519854 hasConcept C2775924081 @default.
- W2016519854 hasConcept C2779374083 @default.
- W2016519854 hasConcept C2780992000 @default.
- W2016519854 hasConcept C33923547 @default.
- W2016519854 hasConcept C38652104 @default.
- W2016519854 hasConcept C41008148 @default.
- W2016519854 hasConcept C47446073 @default.
- W2016519854 hasConcept C62520636 @default.
- W2016519854 hasConceptScore W2016519854C121332964 @default.
- W2016519854 hasConceptScore W2016519854C154945302 @default.
- W2016519854 hasConceptScore W2016519854C163258240 @default.
- W2016519854 hasConceptScore W2016519854C2775924081 @default.
- W2016519854 hasConceptScore W2016519854C2779374083 @default.
- W2016519854 hasConceptScore W2016519854C2780992000 @default.
- W2016519854 hasConceptScore W2016519854C33923547 @default.
- W2016519854 hasConceptScore W2016519854C38652104 @default.
- W2016519854 hasConceptScore W2016519854C41008148 @default.
- W2016519854 hasConceptScore W2016519854C47446073 @default.
- W2016519854 hasConceptScore W2016519854C62520636 @default.
- W2016519854 hasIssue "3" @default.
- W2016519854 hasLocation W20165198541 @default.
- W2016519854 hasOpenAccess W2016519854 @default.
- W2016519854 hasPrimaryLocation W20165198541 @default.
- W2016519854 hasRelatedWork W147898783 @default.
- W2016519854 hasRelatedWork W1486421317 @default.
- W2016519854 hasRelatedWork W1489883484 @default.
- W2016519854 hasRelatedWork W190328078 @default.
- W2016519854 hasRelatedWork W1964920910 @default.
- W2016519854 hasRelatedWork W1985508528 @default.
- W2016519854 hasRelatedWork W1998167832 @default.
- W2016519854 hasRelatedWork W2000422883 @default.
- W2016519854 hasRelatedWork W2390459957 @default.
- W2016519854 hasRelatedWork W3026662667 @default.
- W2016519854 hasVolume "42" @default.
- W2016519854 isParatext "false" @default.
- W2016519854 isRetracted "false" @default.
- W2016519854 magId "2016519854" @default.
- W2016519854 workType "article" @default.