Abstract
Considering the optimization problem of maintenance support resource scheduling, taking the three-level service process flow as an example, basing on the model of RCPSP problem, and in view of that the particle swarm algorithm is prone to local optimization and poor searching effect in solving this problem, this paper presents the hybrid chaos particle swarm optimization, which is formed by adopting a kind of systematic random global searching method - chaos particle swarm optimization and in combination with genetic operator and refactoring particle swarm algorithm for the purpose of expanding the searching scope of the algorithm and improving the quality of the solution and enhance efficiency.
| Original language | English |
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| Pages | 267-271 |
| Number of pages | 5 |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | 2013 International Conference on Information Technology and Computer Application Engineering, ITCAE 2013 - Hong Kong, China Duration: 27 Aug 2013 → 28 Aug 2013 |
Conference
| Conference | 2013 International Conference on Information Technology and Computer Application Engineering, ITCAE 2013 |
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| Country/Territory | China |
| City | Hong Kong |
| Period | 27/08/13 → 28/08/13 |
Keywords
- Chaos particle swarm
- Hybrid particle swarm optimization
- Maintenance support