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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dongmei Lin Xiangbin Wu Dong Wang |
| Copyright Year | 2008 |
| Description | Author affiliation: Center of Inf. & Educ. Technol., Foshan Univ., Foshan (Dongmei Lin) || Dept. of Comput. Sci. & Technol., Foshan Univ., Foshan (Dong Wang) || Coll. of Geosci. & Environ. Eng., Central South Univ., Changsha (Xiangbin Wu) |
| Abstract | Natural properties of stochastic searching strategies and operations in metaheuristic algorithms have important influence on convergence performance of various metaheuristic algorithms. Through similarity analysis to two kinds of metaheuristic algorithms, exact heuristic algorithm based on branch-and-cut is put forward according to change trend of similarity between two arbitrary high-quality solutions. In the meanwhile, two conditions were given in this paper because efficiency of branch-and-cut algorithm is closely allied to complexity of solved object. New heuristic algorithm can help metaheuristic algorithms finding superior solutions than other heuristic algorithms, and accelerate metaheuristic algorithms convergence. Simulation experiments show that new heuristic algorithm is efficacious. |
| Starting Page | 9 |
| Ending Page | 13 |
| File Size | 466004 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769533988 |
| DOI | 10.1109/ICYCS.2008.43 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis traveling salesman problem Heuristic algorithms Computational modeling branch-and-cut Stochastic processes Educational technology Traveling salesman problems Educational institutions heuristic algorithm local search algorithm exact algorithm Iterative algorithms Computer science education Acceleration |
| Content Type | Text |
| Resource Type | Article |
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