Research Optimization on Logistic Distribution Center Location Based on Improved Harmony Search Algorithm
| Autor: | Yingying Peng, Entao Jiang, Shuang Geng, Mijat Kustudic, Xiaobing Gan |
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| Rok vydání: | 2018 |
| Předmět: |
Distribution center
Mathematical optimization 021103 operations research Logistic distribution Computer science 0211 other engineering and technologies Harmony (ISS module) Particle swarm optimization ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Genetic algorithm Convergence (routing) 0202 electrical engineering electronic engineering information engineering Harmony search 020201 artificial intelligence & image processing Center (algebra and category theory) |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319938141 ICSI (1) |
| DOI: | 10.1007/978-3-319-93815-8_39 |
| Popis: | Logistics distribution center are important logistics nodes and the choice of locations are critical management decisions. This study addresses a logistics distribution center location problem that aims at determining the location and allocation of the distribution centers. Considering the characteristic and complexity of problem, we propose an improved harmony search algorithm, in which we employ a novel way of improvising new harmony. The improved algorithm is compared with genetic algorithm, particle swarm optimization, generalized particle swarm optimization, and classical harmony search algorithm in solving a simulated distribution center location problem. Experiment results show that the improved algorithm can solve the logistics distribution center problem with more stable convergence speed and higher accuracy. |
| Databáze: | OpenAIRE |
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