Andreas C. Nearchou
A new meta-heuristic for scheduling multiple jobs on a single machine so that they are completed by a common specified date (neither earlier, nor later) is addressed in this paper. Costs are set depending on whether a job finished before (earliness), or after (tardiness) the specified due date. The objective is to minimize the total weighted earliness and tardiness penalized costs from the specified common due date. Minimizing these costs pushes the completion time of each job as close as possible to the due date. Extensive computational experiments over public benchmark problems show the effectiveness of the developed approach. In particular, the proposed meta-heuristic put new improved upper bounds on the majority of the benchmarks test problems.
NOTE: TO READ THIS AND OTHER IPROMS 2006 PAPERS, PLEASE REGISTER FOR THE CONFERENCE.
REGISTRATION IS FREE.
CLICK here TO REGISTER.
| Attachment | Size |
|---|---|
| PID150210.wmv | 8.86 MB |
| PID150210.pdf | 170.64 KB |

Welcome to IPROMS 2006. In this session, we have two new meta-heuristic including this paper. Thanks for your contribution to IPROMS 2006.
I would like to ask you about your bechmarking methodology, as far as I can see, you are not comparing your results with the existing meta-heuristics. Could you explain your bechmarking methodology please?
Thanks