Matches in SemOpenAlex for { <https://semopenalex.org/work/W2105958246> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2105958246 abstract "Artificial fish swarm algorithm (AFSA) is a kind of swarm intelligence algorithms, which has the features of not strict to parameter setting, insensitive to initial values, strong robustness and so on. But the precision can not be very high and artificial fish (AF) often suffers the problem of being trapped in local optima. Especially when the objective function is a multimodel function, this problem is more prominent. Since chaotic mapping enjoys certainty, ergodicity and stochastic property, chaotic search can serve as a kind of method for global optimization. Feedback can also act as a strategy to lead the movement of AF. In this paper, chaotic search and feedback strategy are introduced into AFSA to overcome the shortcoming above. The experimental results show that the improved AFSA can obtain better results than the standard AFSA." @default.
- W2105958246 created "2016-06-24" @default.
- W2105958246 creator A5040799229 @default.
- W2105958246 creator A5049934452 @default.
- W2105958246 date "2009-12-01" @default.
- W2105958246 modified "2023-10-16" @default.
- W2105958246 title "An Improved Artificial Fish Swarm Algorithm Based on Chaotic Search and Feedback Strategy" @default.
- W2105958246 cites W1994867044 @default.
- W2105958246 cites W2134957040 @default.
- W2105958246 cites W2151728381 @default.
- W2105958246 cites W2158154710 @default.
- W2105958246 cites W2538751444 @default.
- W2105958246 doi "https://doi.org/10.1109/cise.2009.5366958" @default.
- W2105958246 hasPublicationYear "2009" @default.
- W2105958246 type Work @default.
- W2105958246 sameAs 2105958246 @default.
- W2105958246 citedByCount "14" @default.
- W2105958246 countsByYear W21059582462012 @default.
- W2105958246 countsByYear W21059582462013 @default.
- W2105958246 countsByYear W21059582462014 @default.
- W2105958246 countsByYear W21059582462015 @default.
- W2105958246 countsByYear W21059582462016 @default.
- W2105958246 countsByYear W21059582462017 @default.
- W2105958246 countsByYear W21059582462021 @default.
- W2105958246 countsByYear W21059582462022 @default.
- W2105958246 countsByYear W21059582462023 @default.
- W2105958246 crossrefType "proceedings-article" @default.
- W2105958246 hasAuthorship W2105958246A5040799229 @default.
- W2105958246 hasAuthorship W2105958246A5049934452 @default.
- W2105958246 hasBestOaLocation W21059582462 @default.
- W2105958246 hasConcept C104317684 @default.
- W2105958246 hasConcept C105795698 @default.
- W2105958246 hasConcept C11413529 @default.
- W2105958246 hasConcept C126255220 @default.
- W2105958246 hasConcept C14036430 @default.
- W2105958246 hasConcept C141934464 @default.
- W2105958246 hasConcept C154945302 @default.
- W2105958246 hasConcept C181335050 @default.
- W2105958246 hasConcept C185592680 @default.
- W2105958246 hasConcept C201779956 @default.
- W2105958246 hasConcept C2775924081 @default.
- W2105958246 hasConcept C2777052490 @default.
- W2105958246 hasConcept C2909208804 @default.
- W2105958246 hasConcept C33923547 @default.
- W2105958246 hasConcept C41008148 @default.
- W2105958246 hasConcept C47446073 @default.
- W2105958246 hasConcept C505870484 @default.
- W2105958246 hasConcept C55493867 @default.
- W2105958246 hasConcept C63479239 @default.
- W2105958246 hasConcept C78458016 @default.
- W2105958246 hasConcept C86803240 @default.
- W2105958246 hasConceptScore W2105958246C104317684 @default.
- W2105958246 hasConceptScore W2105958246C105795698 @default.
- W2105958246 hasConceptScore W2105958246C11413529 @default.
- W2105958246 hasConceptScore W2105958246C126255220 @default.
- W2105958246 hasConceptScore W2105958246C14036430 @default.
- W2105958246 hasConceptScore W2105958246C141934464 @default.
- W2105958246 hasConceptScore W2105958246C154945302 @default.
- W2105958246 hasConceptScore W2105958246C181335050 @default.
- W2105958246 hasConceptScore W2105958246C185592680 @default.
- W2105958246 hasConceptScore W2105958246C201779956 @default.
- W2105958246 hasConceptScore W2105958246C2775924081 @default.
- W2105958246 hasConceptScore W2105958246C2777052490 @default.
- W2105958246 hasConceptScore W2105958246C2909208804 @default.
- W2105958246 hasConceptScore W2105958246C33923547 @default.
- W2105958246 hasConceptScore W2105958246C41008148 @default.
- W2105958246 hasConceptScore W2105958246C47446073 @default.
- W2105958246 hasConceptScore W2105958246C505870484 @default.
- W2105958246 hasConceptScore W2105958246C55493867 @default.
- W2105958246 hasConceptScore W2105958246C63479239 @default.
- W2105958246 hasConceptScore W2105958246C78458016 @default.
- W2105958246 hasConceptScore W2105958246C86803240 @default.
- W2105958246 hasLocation W21059582461 @default.
- W2105958246 hasLocation W21059582462 @default.
- W2105958246 hasOpenAccess W2105958246 @default.
- W2105958246 hasPrimaryLocation W21059582461 @default.
- W2105958246 hasRelatedWork W183212809 @default.
- W2105958246 hasRelatedWork W2006298973 @default.
- W2105958246 hasRelatedWork W2105958246 @default.
- W2105958246 hasRelatedWork W2133745942 @default.
- W2105958246 hasRelatedWork W2151867184 @default.
- W2105958246 hasRelatedWork W2161943840 @default.
- W2105958246 hasRelatedWork W2353457312 @default.
- W2105958246 hasRelatedWork W2361162867 @default.
- W2105958246 hasRelatedWork W2366654777 @default.
- W2105958246 hasRelatedWork W2391933089 @default.
- W2105958246 isParatext "false" @default.
- W2105958246 isRetracted "false" @default.
- W2105958246 magId "2105958246" @default.
- W2105958246 workType "article" @default.