6533b85dfe1ef96bd12bdca4

RESEARCH PRODUCT

Genetic Algorithms: A Decision Tool in Industrial Disassembly

Luminita DutaConstantin-bala ZamfirescuFlorin Gheorghe Filip

subject

Multiobjective optimization problemDecision toolWorkstationlawComputer scienceWaste recoveryHardware_REGISTER-TRANSFER-LEVELIMPLEMENTATIONIndustrial engineeringMulti-objective optimizationElectronic equipmentScheduling (computing)law.invention

description

In the recycling process of the Waste Electrical and Electronic Equipment (WEEE) the disassembly process has a central role. Disassembly is not the reverse of the assembly process, real difficulties occur in the tasks assignment process of the disassembly operations. Since this is a multi objective optimization problem, we prove that genetic algorithms provide a useful multi-criteria decision tool in the industrial disassembly process.

yearjournalcountryeditionlanguage
2008-11-012008 First International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems. Medical Applications of the Complex Systems. Biomedical Computing
https://doi.org/10.1109/cans.2008.14