[PDF] Top 20 A multi-objective genetic algorithm (MOGA) for hybrid flow shop scheduling problem with assembly operation

... an assembly stage. In this article the first stage assumed as a hybrid flow shopwith identical parallel machines and the second stage will be an assemble work ...the problem is defined and its ... See full document

... job-shop scheduling problem. They also developed a heuristic algorithm to identify a good solutions for the model based on the “Tabu search mechanism” (He, Liu, Cao, & Li, ... See full document

... multistage operation-based GA (moGA) proposed by Gen et ...based algorithm (ClonaFLEX) proposed by Ong et ...Immune Algorithm (AIA) proposed by Bagheri et al. (2010) and a hybrid ... See full document

... a hybrid (HGASA) meta-heuristic al- gorithm, which can be used for the minimization of makespan and total flow time in the ...complex problem. Our algorithm hy- bridizes the Genetic ... See full document

... machines scheduling problems with sequence- dependent setup times and precedence constraints to minimize the number of tardy jobs and total completion time of all ...in scheduling problems, are an ant ... See full document

... on scheduling jobs in ...job shop in a tool- shared flexible manufacturing ...heuristic algorithm based on the filtered beam search for scheduling ...mean flow time, mean tardiness, and ... See full document

... some genetic algorithms for shop scheduling problems. In a shop scheduling problem, a set of jobs has to be processed on a set of machines such that a specific optimization ... See full document

... and operation research, PSO is used which is an optimization algorithm inspired by the social behaviour of birds flocking and fishes shoaling with its ...of scheduling the optimization ...job ... See full document

... a multi-objective technique to consider flowshop problem where the objectives include makespan, total waiting time and total tardiness in term of the planner-specified ...of scheduling ... See full document

... Protection Flow shop processing involves constant sequences of initial, standard, steady, and nonpermutable production, such as that of steel, optoelectronics, and metal, which are common in real-world ... See full document

... study scheduling in multi-objective ...the multi-objective flow shop optimization algorithms, there are basically two approaches to solve a multi-objective ... See full document

... job shop scheduling is known to be a strong NP-hard ...job shop scheduling included “m” objectives must also be an NP-hard ...solving multi-objective scheduling ... See full document

... a genetic algorithm to schedule spreading cutting and sewing operations in an apparel ...programming problem in an oil refinery company using mixed integer ...a genetic algorithm to ... See full document

... a genetic algorithm for job shop scheduling problem with fuzzy processing times and fuzzy due ...The objective is to maximize the minimum agreement index, to maximize the average ... See full document

... appropriate genetic representation ...smaller objective function value) is selected as a parent chromosome to produce different ...bi-objectives problem by using constructive algorithm in ... See full document

... the problem shows that, (Brandimarte, 1993) proposed a hierarchical approach, distinguishing the allocation from the sequencing sub- problem, where the former is handled as a routing problem while ... See full document

... Job-shop scheduling problem is one of the most important fields in manufacturing optimization where a set of n jobs must be processed on a set of m specified ...Job Shop problem (FJSP) ... See full document

... Job shop scheduling problem with a parallel assembly stage and Lot Streaming (LS) is considered for the first time in both machining and assembly ...job shop scheduling ... See full document

... two-stage hybrid flow shop scheduling problem with setup and assembly ...two-stage hybrid flow-shop and then the parts are assembled into products on ... See full document

... decoding algorithm, which also depends on the number of operations, result- ing in an increasing rate of computational time with the increase of the number of ... See full document