sorted the job table according to max profit & then have made the local best choice at each iteration to reduce the problem size & ultimately to reach the goal. Simply speaking, we have used thegreedy technique
resolve job sequencing problem with a deadline (JSD) needs exponential time O( \\( n^{2} \\) ), where sorting algorithm [O( \\( nlog\\left( n ight) \\) )-(Merge Sort)] must have to use to sort all the jobs in decreasing order of their profit and it is a greedy technique...
In this paper, a modified iterated greedy is proposed for solving the flexible job shop scheduling problem. The experimental results show that the algorithm can find the global optimum solution for small and medium scale instances. MIG outperforms all other algorithms for 4 medium-scale instances. ...
Keywords Multi-Agent system Optimization Manufacturing Scheduling Flexible Job shop Scheduling Problem Chemical Reaction Optimization metaheuristic Greedy algorithm View PDFReferences 1 Garey E.L., Johnson D.S., Sethi R. The Complexity of Flow-shop and Job-shop scheduling Mathematics of Operations Research...
The flexible job shop scheduling problem with parallel batch processing operation (FJSP_PBPO) in this study is motivated by real-world scenarios observed in electronic product testing workshops. This research aims to tackle the deficiency of effective me
Job shop scheduling primarily involves decision-making on production batch and production sequencing. For example, Wang, ZC et al. established a constrained hybrid flow shop scheduling model by considering a real-world scenario. And a discrete artificial ant colony algorithm is designed to solve the...
Besides, we list three classical heuristics for flow shop sequencing problems. The definition of the wasted volume and its relationship to the makespan is given below. Hybrid EDA-DE algorithm To solve the problem under study, we employ a meta-heuristic algorithm to solve industry-size problems. ...
(VNS) with a multi-population GA to address this problem, validated in a heavy industrial foundry and forging environment. Ji et al.43constructed a novel multi-commodity flow model for the FJ|p-batch |Cmax, introducing an adaptive large neighborhood search (ALNS) algorithm with optimal repair ...
As a complex scheduling problem where each job requires a given series of operations, or routing, to be processed on different machines, the Job-shop Scheduling Problem (JSP) has been studied for decades. The decisions to take are the sequencing decisions of the operations on the machines to ...
Job shop scheduling primarily involves decision-making on production batch and production sequencing. For example, Wang, ZC et al. established a constrained hybrid flow shop scheduling model by considering a real-world scenario. And a discrete artificial ant colony algorithm is designed to solve the...