Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210317351> ?p ?o ?g. }
- W4210317351 endingPage "287" @default.
- W4210317351 startingPage "287" @default.
- W4210317351 abstract "An extended membrane system using a tissue-like P system with evolutional symport/antiport rules and a promoter/inhibitor, which is based on the evolutionary mechanism of quantum-behaved particle swarm optimization (QPSO) and improved QPSO, named CQPSO-ETP, is designed and developed in this paper. The purpose of CQPSO-ETP is to enhance the optimization performance of statistical network structure-based membrane-inspired evolutionary algorithms (SNS-based MIEAs) and the QPSO technique. In CQPSO-ETP, evolution rules with a promoter based on a standard QPSO mechanism are introduced to evolve objects, and evolution rules with an inhibitor based on an improved QPSO mechanism using self-adaptive selection, and cooperative evolutionary and logistic chaotic mapping methods, are adopted to avoid prematurity. The communication rules with a promoter/inhibitor for objects are introduced to achieve the exchange and sharing of information between different membranes. Under the control of the evolution and communication mechanism, the CQPSO-ETP can effectively improve the performance with the help of a distributed parallel computing model. The proposed CQPSO-ETP is compared with PSO, QPSO and two existing improved QPSO approaches which are conducted on eight classic numerical benchmark functions to verify the effectiveness. Furthermore, computational experiments which are made on eight tested images with three comparative clustering approaches are adopted, and the experimental results demonstrate the clustering validity of the proposed CQPSO-ETP." @default.
- W4210317351 created "2022-02-08" @default.
- W4210317351 creator A5007958262 @default.
- W4210317351 creator A5016082570 @default.
- W4210317351 creator A5040643591 @default.
- W4210317351 creator A5041591260 @default.
- W4210317351 creator A5056564003 @default.
- W4210317351 creator A5090456454 @default.
- W4210317351 date "2022-01-31" @default.
- W4210317351 modified "2023-09-25" @default.
- W4210317351 title "An Extended Tissue-like P System Based on Membrane Systems and Quantum-Behaved Particle Swarm Optimization for Image Segmentation" @default.
- W4210317351 cites W1203431557 @default.
- W4210317351 cites W1593274493 @default.
- W4210317351 cites W1717686530 @default.
- W4210317351 cites W1999127798 @default.
- W4210317351 cites W2000137079 @default.
- W4210317351 cites W2004006927 @default.
- W4210317351 cites W2028133039 @default.
- W4210317351 cites W2045401562 @default.
- W4210317351 cites W2071299450 @default.
- W4210317351 cites W2097366597 @default.
- W4210317351 cites W2102892532 @default.
- W4210317351 cites W2105511939 @default.
- W4210317351 cites W2118044993 @default.
- W4210317351 cites W2118246710 @default.
- W4210317351 cites W2122274805 @default.
- W4210317351 cites W2134478050 @default.
- W4210317351 cites W2148456801 @default.
- W4210317351 cites W2154061444 @default.
- W4210317351 cites W2156194072 @default.
- W4210317351 cites W2168081761 @default.
- W4210317351 cites W2169982942 @default.
- W4210317351 cites W2215077050 @default.
- W4210317351 cites W2221284309 @default.
- W4210317351 cites W2318861482 @default.
- W4210317351 cites W2401745163 @default.
- W4210317351 cites W2462473771 @default.
- W4210317351 cites W2532651643 @default.
- W4210317351 cites W2586352512 @default.
- W4210317351 cites W2588792232 @default.
- W4210317351 cites W2599417741 @default.
- W4210317351 cites W2769360088 @default.
- W4210317351 cites W2779653581 @default.
- W4210317351 cites W2797275640 @default.
- W4210317351 cites W2799588315 @default.
- W4210317351 cites W2894015850 @default.
- W4210317351 cites W2913757370 @default.
- W4210317351 cites W2919373174 @default.
- W4210317351 cites W2934047057 @default.
- W4210317351 cites W2943863732 @default.
- W4210317351 cites W2965909086 @default.
- W4210317351 cites W2966042060 @default.
- W4210317351 cites W2969442213 @default.
- W4210317351 cites W2973036784 @default.
- W4210317351 cites W2976653314 @default.
- W4210317351 cites W2977726200 @default.
- W4210317351 cites W2982561146 @default.
- W4210317351 cites W2991264419 @default.
- W4210317351 cites W2999349798 @default.
- W4210317351 cites W3004061404 @default.
- W4210317351 cites W3005867584 @default.
- W4210317351 cites W3010414753 @default.
- W4210317351 cites W3020860606 @default.
- W4210317351 cites W3031519732 @default.
- W4210317351 cites W3034146315 @default.
- W4210317351 cites W3040499531 @default.
- W4210317351 cites W3041809689 @default.
- W4210317351 cites W3044234698 @default.
- W4210317351 cites W3044782118 @default.
- W4210317351 cites W3048250611 @default.
- W4210317351 cites W3053813224 @default.
- W4210317351 cites W3083968433 @default.
- W4210317351 cites W3084155605 @default.
- W4210317351 cites W3087595891 @default.
- W4210317351 cites W3088701746 @default.
- W4210317351 cites W3092465302 @default.
- W4210317351 cites W3093041690 @default.
- W4210317351 cites W3094009273 @default.
- W4210317351 cites W3096265714 @default.
- W4210317351 cites W3100555954 @default.
- W4210317351 cites W3115426574 @default.
- W4210317351 cites W3126096472 @default.
- W4210317351 cites W3130023820 @default.
- W4210317351 cites W3134599947 @default.
- W4210317351 cites W3135440047 @default.
- W4210317351 cites W3135923536 @default.
- W4210317351 cites W3138187194 @default.
- W4210317351 cites W3178131476 @default.
- W4210317351 cites W3178661483 @default.
- W4210317351 cites W3214964510 @default.
- W4210317351 cites W4241727697 @default.
- W4210317351 cites W4246598646 @default.
- W4210317351 cites W4248657131 @default.
- W4210317351 cites W4292083457 @default.
- W4210317351 doi "https://doi.org/10.3390/pr10020287" @default.
- W4210317351 hasPublicationYear "2022" @default.
- W4210317351 type Work @default.
- W4210317351 citedByCount "3" @default.