In this paper, the flexible job scheduling problem is solved that incorporates not only processing time but setup time and transportation time as well.
In this paper, we studied the flexible job shop scheduling problem with a limited number of AGVs (FJSP-AGV) and propose an improved genetic algorithm (IGA) to ...
An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints. https://doi.org/10.1016/j.swevo.2020.100664 ·.
Recently a new approach is required for a scheduling system which has flexibility against alteration of problem condition. This paper deals with a ...
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Abstract. In this paper, we present a genetic algorithm for the Flexible Job-shop Scheduling Problem (FJSP). The algorithm integrates different strategies ...
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The objective is to minimize the global makespan over all the FMUs. This paper proposes an Improved Genetic Algorithm to solve the Distributed and Flexible Job- ...
The TT-FJSP has one more transportation times constraint: When one operation is completed, the finish time is not equal to the start time of the next operation,.
First, the algorithm adopted a new generation mechanism to produce the initial population, which could accelerate the convergence speed of the algorithm. Second ...
Two meta-heuristic algorithms for the dual-resource constrained flexible job-shop scheduling problem, Scientia. Iranica, Vol. 22, No. 3, 1242-1257. [19] ...
A layered genetic algorithm with iterative diversification for optimization of flexible job shop scheduling problems · Engineering, Computer Science. Advances in ...