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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiao-gao Yu Xiao-peng Yu |
| Copyright Year | 2007 |
| Description | Author affiliation: Hubei Univ. of Econ., Wuhan (Xiao-gao Yu) |
| Abstract | A vehicle must serve a collection of transportation requests by taking loads from providers to customers satisfying precedence, capacity and time constraints in the 1-PDPTW (single-vehicle pickup and delivery problem with time windows). After beginning the circuit some requests appear and need to be satisfied in the dynamic case of this problem. In this paper, a brief scientific literature review is presented on the 1-PDPTW and an evolutionary approach is proposed to solve this problem. Our evolutionary approach uses an evolutionary algorithm, with special genetic operators to minimize computing time and Pareto dominance method to provide a set of satisfying and feasible solutions to the 1-PDPTW, minimizing the compromise between total travel distance, total waiting time and total tardiness time. |
| Starting Page | 581 |
| Ending Page | 585 |
| File Size | 1397393 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424408177 |
| DOI | 10.1109/ICCA.2007.4376422 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-05-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicle dynamics Road transportation Circuits Evolutionary computation Genetics Dynamic programming NP-hard problem Automatic control Automation Information management evolutionary algorithms operators 1-PDPTW |
| Content Type | Text |
| Resource Type | Article |
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