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| A GENETIC ALGORITHM BASED APPROACH TO INTELLILGENTOPTIMIZATION FOR SCHEDULING OFDUAL-RESOURCES WITH ROBOTS |
| SUN Zhi-jun, ZHU Jian-ying |
| Mechatronic Engineering Institute Nanjing University of Aeronautics & Astronautics, Nanjing 210016 |
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Abstract Based on genetic algorithms,dual-resource constrained job-shop-scheduling problem with robots is studied. A new scheduling algorithm is proposed,which combines genetic algorithms and dispatching rules. It reasonably assigns the resources of machines and robots to jobs. Finally,a simulation example is presented to illustrate the feasibility of the algorithm and it is confirmed that the results are good.
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Received: 10 September 2001
Published: 15 July 2002
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