In the system, the merging of tasks as a work unit is important to reduce the material loss. However, there is no guarantee that merging always reduces the ...
In the system, the merging of tasks as a work unit is important to reduce the material loss. However, there is no guarantee that merging always reduces the ...
Genetic Algorithms for Improving Material Utilization in Manufacturing. 721. The second level of Genetic Algorithm is for group-merging. A gene represents the.
Bibliographic details on Genetic Algorithms for Improving Material Utilization in Manufacturing.
This paper proposes a genetic algorithm approach to solve the identical parallel machines problem with tooling constraints in job shop flexible manufacturing ...
In this paper, a genetic optimized decision-making model using adaptive evolutionary strategies is proposed to assist the production management of the apparel ...
For example, genetic algorithms can be used to optimize the layout and configuration of manufacturing cells, considering factors such as machine capabilities, ...
The research problem can be defined by generating an optimal set of machine combination by the application of Algorithm for maximum utilization, minimum ...
A genetic algorithm approach is proposed to solve the problem within reasonable times. Results of the computational tests show the promising performance of the ...
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Genetic algorithms can be used in production scheduling to optimize the allocation of resources and minimize production costs. Production scheduling aims to ...