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EnglishA genetic algorithm that generates and evaluates assembly plans is proposed This algorithm is able to generate near-optimal assembly plans through purposely developed crossover and mutation operators starting from a randomly initialized population of assembly sequences. The optimization criteria we used to assess the quality of feasible assembly sequences are: i) to minimize the orientation changes of the product; ii) to minimize the gripper changes, and iii) to group as much as possible technologically similar assembly operations. Experimental results that confirm the validity of our approach are also included.
| Titolo: | Assembly planning based on genetic algorithms |
| Autori interni: | |
| Anno del prodotto: | 1999 |
| Abstract: | A genetic algorithm that generates and evaluates assembly plans is proposed This algorithm is able to generate near-optimal assembly plans through purposely developed crossover and mutation operators starting from a randomly initialized population of assembly sequences. The optimization criteria we used to assess the quality of feasible assembly sequences are: i) to minimize the orientation changes of the product; ii) to minimize the gripper changes, and iii) to group as much as possible technologically similar assembly operations. Experimental results that confirm the validity of our approach are also included. |
| Handle: | http://hdl.handle.net/11568/194255 |
| ISBN: | 0780352114 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11568/194255
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