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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qin, X.W. Qin, F. |
| Copyright Year | 2008 |
| Description | Author affiliation: Coll. of Optoelectron. Sci. & Technol., Huazhong Univ. or Sci. & Technol., Wuhan (Qin, F.) || Sch. of Bus. Adm., Northeastern Univ. Shenyang, Shenyang (Qin, X.W.) |
| Abstract | An effective hybrid algorithm integrated the heuristic route exploration algorithm (HRE) and particle swarm optimization (PSO) is proposed for logistics network design problem with transportation concave cost function between plants and distribution centers. In this solution, PSO is used to search feasible logistics network structures, while HRE algorithm is used to decide whether to route a shipment through an intermediate consolidation centers or route it directly to its distribution centers. A novel encoding scheme satisfying spontaneously with complicated constraints is designed. Two particle state updating mechanisms are presented to mitigate premature convergence. Simulation results and comparisons demonstrate the effectiveness of the proposed hybrid PSO algorithm. |
| Starting Page | 1182 |
| Ending Page | 1186 |
| File Size | 301683 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769533360 |
| DOI | 10.1109/CSSE.2008.936 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Heuristic algorithms Transportation Routing Encoding Particle swarm optimization PSO Design optimization Computer science heuristic algorithm Cost function logistics network Logistics |
| Content Type | Text |
| Resource Type | Article |
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