Soft computing approach for solving elevator scheduling problem
Elevator scheduling problem involves finding an optimal path of certain number of elevators movement in a building with certain number of floors. It is formulated as an integer programming problem. In order to solve the scheduling problem on elevator, a genetic algorithm as part of soft computing...
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| Format: | Final Year Project Report / IMRAD |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, UNIMAS
2010
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| Online Access: | http://ir.unimas.my/id/eprint/4592/ http://ir.unimas.my/id/eprint/4592/1/SOFT%20COMPUTING%20APPROACH%20FOR%20SOLVING%20ELEVATOR%20SCHEDULING%20PROBLEM%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/4592/8/Soft%20computing%20approach%20for%20solving%20elevator...%28fulltext%29.pdf |
| Summary: | Elevator scheduling problem involves finding an optimal path of certain number of
elevators movement in a building with certain number of floors. It is formulated as
an integer programming problem. In order to solve the scheduling problem on
elevator, a genetic algorithm as part of soft computing is used in a real time system.
It becomes an option because the minimum optimization can be counter through this
method where some specific criteria have to be fulfilled that will result in the
minimization of passengers travelling and waiting time in or for an elevator. In order
to manipulate the scheduling problem solution, designed and developed simulation
software for the optimization of elevator scheduling problem is introduced and
presented by using soft computing methodology. |
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