The knowledge-based system plays the role of the application environment and guarantees the feasibility of the generated schedules. The resultant genetic ...
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In this paper, we are interested in job-shop scheduling problems with several unrelated parallel machines and precedence constraints between the operations ...
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The proposed algorithm, KBGA, improves the performance of traditional GA through introducing the knowledge base system which includes both explicit and implicit ...
In this paper a complex scheduling problem in flexible manufacturing system (FMS) has been addressed with a novel approach called knowledge based genetic ...
After the iterative subcycles have been determined, their processes must be ordered in a manner that will produce a design in the least time and at minimw cost.
2017. Knowledge-augmented genetic algorithm for production scheduling ... 2007. Incorporation of a knowledge-based scheduling system into a genetic algorithm.
In this paper, a knowledge-transfer based multi-objective GPHH framework (KT-MOGP) is proposed, equipped with a heuristic-based simulation considering the idle ...
This paper proposes the development of a variety of hybrid approaches that combines heuristics and mathematical programming within a genetic algorithm (GA) ...
A knowledge-based genetic algorithm for solving a problem of dynamic machine–tool selection and operation allocation in a flexible manufacturing system and ...
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Jan 1, 2023 · The research work adopts KBGA to optimise the structure of GRU, so that the classifier outperforms the classification process.