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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yang Weidong |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, china (Yang Weidong) |
| Abstract | One of important researches in Rapid Prototyping (RP) is to optimize the path planning which affects the efficiency and building quality of RP system. But it is very difficult to solve its optimization by traditional methods. Genetic algorithms (GAs) are excellent approaches to solving these complex problems in optimization with difficult constraints. The classic path-planning optimization problem has been shown to be a NP-complete problem. To obtain optimized boundary path result, a genetic algorithm (GA) is developed and implemented. The GA features optimized chromosome code, constrained crossover operator, constrained mutation operator and fitness evaluation function. Finally, experiments of the optimized boundary path based on the GA are conducted with satisfactory results. |
| Starting Page | 5068 |
| Ending Page | 5072 |
| File Size | 141660 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424427222 |
| DOI | 10.1109/CCDC.2009.5194966 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Solid modeling Laser sintering Optimization methods Genetic Algorithm Path planning NP-complete problem Genetic algorithms Constraint optimization Rapid Prototyping Path Planning Prototypes Optical materials Laser beam cutting |
| Content Type | Text |
| Resource Type | Article |
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