[PDF] Top 20 A Modified Iterated Greedy Algorithm for Flexible Job Shop Scheduling Problem

... between flexible job shop schedul- ing problem and job shop scheduling problem (JSP) is that flexible job shop problem dictates ... See full document

... FJSP problem solving algorithms [3]. The current FJSP problem solving algorithms can be roughly divided into three categories: exact solution algorithms, heuristic algorithms, and artificial intelligence ... See full document

... for flexible job shop ...genetic algorithm was used in order to solve the problem and it was tested on standard problems available in literature of different ...developed ... See full document

... unscheduled job to the partial sequence constructed so far until a complete solution is ...a job is chosen by applying a transition rule based on the pheromone ...are modified by applying a global ... See full document

... The algorithm to get a topological sort of a DAG starts by marking all the nodes as not visited, then a node 𝑣 𝑖𝑛 𝑁 is randomly ...sort algorithm and the function TopologicalSortUntil  ... See full document

... the job shop scheduling problem (JSSP), the jobs can be processed on more than one ...the problem as (i) the hierarchical approach with decomposition and (ii) the integrated appro- ... See full document

... genetic algorithm[3][4], particle swarm algorithm[5], ant colony algorithm[6] and so ...no algorithm that is optimal on all ...genetic algorithm with priority-based representation is ... See full document

... hybrid algorithm for the Flexible Job-Shop Scheduling Problem ...This problem involves the optimal use of resources in a flexible production environment in which ... See full document

... NSGA-II algorithm is developed, which is named Blood-Variation-based NSGA-II(BVNSGA-II) and its crossover and mutation strategy is ...new algorithm can avoid early convergence to local optimal ... See full document

... Literature shows examples of hybrid GA with intelligent genetic operators than produce optimal schedules. This is the case of [4], that describe an effective hybridation of both techniques, applying improved crossover ... See full document

... The flexible job-shop scheduling (FJS) is a branch of production scheduling, which is NP-hard combinatorial optimization problem ...FJS problem (FJSP) is composed of two ... See full document

... their problem in the ELSP and ELDSP (Yao et ...the problem with two basic methods, namely independent solution (IS) and common cycle ...the problem in a single machine based on the extended basic ... See full document

... standard flexible job-shop test problems from [3] and [4] are ...n-jobs flexible job-shop test problems are ...MOICA algorithm two comparison metrics are taken into ... See full document

... the flexible job shop online scheduling ...a job can not be depicted as a Process-Tree, the approach is essential to scheduling algorithm, and which will involve the ... See full document

... We evaluate the performance of MAE on four bench- marks widely used in the literature: DPdata (Dauz`ere-P´er`es and Paulli 1997), BCdata (Barnes and Chambers 1998), BRdata (Brandimarte 1993), and HUdata (Hurink, Jurisch, ... See full document

... annealing algorithm has been widely used in classical scheduling problems; however, to the best of our knowledge, this algorithm is not applied to the problem of scheduling ... See full document

... From table 6, the integer values for average makespan are 71, 68 and 69. Although we can get better result with high mutation rate, since mutation is the second way a GA explore a solution space, it is advisable to use ... See full document

... solve Flexible Job shop Scheduling Problem (FJSP) with assumed overlapping time of operations and by using memetic algorithm with two different ...the problem was analyzed ... See full document

... Abstract— Flexible Job Shop scheduling problem (FJSSP) is an important scheduling problem which has received considerable importance in the manufacturing ...genetic ... See full document

... SA algorithm is ...this problem in the coding scheme, which leads to the integration of the practical problem solution with production control systems, which often use the O-O approach ...the ... See full document