Specifications

Number of references: 5
Main heading: Gyroscopes
Controlled terms: Industrial engineering - Photoelectricity - Production engineering
Uncontrolled terms: Isolation - Nutation frequency - Skeleton - Torquer - Trap
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Classification code: 741.1 Light/Optics - 912.1 Industrial Engineering - 913.1 Production
Engineering - 943.1 Mechanical Instruments
DOI: 10.4028/www.scientific.net/AMR.655-657.697
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
12.
Accession number: 20130916062268
Title: A hybrid PSO algorithm for vehicle routing problem with simultaneous delivery and
pickup
Authors: Wang, Sunxin1, 2 ; Li, Yan1 ; Zhang, Yanrong2/;李言;
Author affiliation: 1 School of Mechanical and Precision Instrument Engineering, Xi'an
University of Technology, Xi'an, China
2 School of Technology, Xi'an University of Technology, Xi'an, China
Corresponding author: Wang, S. ([e-mail])
Source title: Advanced Materials Research
Abbreviated source title: Adv. Mater. Res.
Volume: 655-657
Monograph title: Engineering Solutions for Manufacturing Processes
Issue date: 2013
Publication year: 2013
Pages: 2326-2330
Language: English
ISSN: 10226680
ISBN-13: 9783037856482
Document type: Conference article (CA)
Conference name: 2012 3rd International Conference on Advances in Materials and
Manufacturing Processes, ICAMMP 2012
Conference date: December 22, 2012 - December 23, 2012
Conference location: Beihai, China
Conference code: 95671
Sponsor: University of Wollongong, Australia; Northeastern University, China; University of
Science and Technology Beijing; Hong Kong Industrial Technology Research Centre
Publisher: Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
Abstract: In this paper a hybrid algorithm named IPSO-VND is proposed and applied to solving
the vehicle routing problem with simultaneous pickup and delivery (VRPSPD). The IPSO-VND
algorithm combines two meta-heuristics: Improved Particle Swarm Optimization (IPSO) is used to
find a group of excellent solutions, and then the Variable Neighborhood Descent (VND) is
implemented to deeply search to achieve the optimal solution around these solutions. During the
IPSO procedure, in order to make up for the change of a particle's position, a velocity component