NDLI: Hybrid elevator group control system based on immune particle swarm hybrid optimization algorithm with full digital keypads

Content Provider	IEEE Xplore Digital Library
Author	Fei Luo Xiaolan Lin Yuge Xu Huijuan Li
Copyright Year	2008
Description	Author affiliation: Dept. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou (Fei Luo)
Abstract	Good elevator group control system would collect more information from the passengers, and make the system perform better. In this paper, a new hybrid elevator group control system with full digital keypads is proposed, on which immune particle swarm optimization (IPSO) hybrid algorithm is applied. Particle swarm optimization (PSO) algorithm has the advantages of simple model, fast convergence, and can be used in continues system. But its convergence speed would slow down lately, and will trap into local minimum easily. Artificial immune optimization(AIO) uses high cytometaplasia in optimization can avoid local minima and accelerate the optimization. After simulation under the same condition, hybrid elevator group control system with full digital keypads shows better effect than the one without digital keypads. But it still exists some disadvantages which need to be improved in the future.
Starting Page	1482
Ending Page	1487
File Size	202314
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4594455
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Elevators Control systems Floors Optimization Particle swarm optimization Convergence Automata cellular automata immune particle swarm hybrid optimization algorithm hybrid elevator group control system with full digital keypads
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Hybrid destination registration elevator group control system with artificial immune optimization algorithm

A new hybrid elevator group control system scheduling strategy based on Particle Swarm Simulated Annealing Optimization algorithm

Energy-saving scheduling strategy for elevator group control system based on ant colony optimization

Novel RS-FNN control policy in hybrid elevator group control system with destination registration

Dispatching strategy of elevator group control system based on policy-booking fuzzy optimization

RBF Optimization control based on PSO for elevator group system

A new intelligent group elevator control approach

A new hybrid algorithm for optimization based on artificial fish swarm algorithm and cellular learning automata

Complex nonlinear system identification based on cellular particle swarm optimization

Hybrid elevator group control system based on immune particle swarm hybrid optimization algorithm with full digital keypads

Similar Documents

Hybrid destination registration elevator group control system with artificial immune optimization algorithm

A new hybrid elevator group control system scheduling strategy based on Particle Swarm Simulated Annealing Optimization algorithm

Energy-saving scheduling strategy for elevator group control system based on ant colony optimization

Novel RS-FNN control policy in hybrid elevator group control system with destination registration

Dispatching strategy of elevator group control system based on policy-booking fuzzy optimization

RBF Optimization control based on PSO for elevator group system

A new intelligent group elevator control approach

A new hybrid algorithm for optimization based on artificial fish swarm algorithm and cellular learning automata

Complex nonlinear system identification based on cellular particle swarm optimization

Hybrid elevator group control system based on immune particle swarm hybrid optimization algorithm with full digital keypads