Name
Title | ||
|---|---|---|
A new evolutionary clustering search for a no-wait flow shop problem with set-up times |
Abstract | ||
|---|---|---|
This paper addresses the m-machine no-wait flow shop problem where the set-up time of a job is separated from its processing time. The performance measure considered is the total flowtime. A new hybrid metaheuristic Genetic Algorithm-Cluster Search is proposed to solve the scheduling problem. The performance of the proposed method is evaluated and the results are compared with the best method reported in the literature. Experimental tests show superiority of the new method for the test problems set, regarding the solution quality. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.engappai.2012.05.017 | Eng. Appl. of AI |
Keywords | Field | DocType |
processing time,genetic algorithm-cluster search,new hybrid metaheuristic,no-wait flow shop problem,performance measure,new method,new evolutionary clustering search,best method,set-up time,test problem,scheduling problem,metaheuristic,scheduling,flow shop | Mathematical optimization,Job shop scheduling,Scheduling (computing),Computer science,Flow shop scheduling,Evolutionary clustering,Metaheuristic | Journal |
Volume | Issue | ISSN |
25 | 6 | 0952-1976 |
Citations | PageRank | References |
18 | 0.64 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcelo Seido Nagano | 1 | 98 | 12.52 |
| Augusto Almeida Da Silva | 2 | 29 | 1.12 |
| Luiz Antonio Nogueira Lorena | 3 | 498 | 36.72 |