Intelligent Waste Crane Scheduling using Evolutionary Computation
| Autor: | Makoto Fujiyoshi, Kenneth J. Mackin |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Municipal solid waste
Waste management ComputingMethodologies_SIMULATIONANDMODELING Computer science 020209 energy ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology 010501 environmental sciences 01 natural sciences Multi-objective optimization Evolutionary computation Incineration Energy conservation Genetic algorithm 0202 electrical engineering electronic engineering information engineering 0105 earth and related environmental sciences |
| Zdroj: | SCIS&ISIS |
| DOI: | 10.1109/scis-isis.2018.00116 |
| Popis: | In energy-from-waste plants, combustible waste is first carried into the process plant by garbage trucks, which unload the solid waste into a large waste pit. The solid waste collected in the waste pit is then carried into the incinerator using a waste crane. In order to stabilize the combustion process, it is important to keep the waste composition similar, by breaking the plastic containers and mixing the garbage well. Various constraints on crane operations including the limited space in the waste pit, time and energy conservation constraints, make fully automatic crane operation a very complex and difficult problem. In this paper, a fully automatic waste crane scheduler applying evolutionary computation is proposed. The proposed waste crane scheduler was successfully tested in an actual energy-from-waste plant, and it was verified that the waste deposited in the incinerator was mixed better using the proposed waste crane scheduler. |
| Databáze: | OpenAIRE |
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