Name
Title | ||
|---|---|---|
A hybrid discrete water wave optimization algorithm for the no-idle flowshop scheduling problem with total tardiness criterion |
Abstract | ||
|---|---|---|
•A hybrid discrete water wave optimization algorithm is proposed to solve NIFSP.•The new initialize method is applied to generate desirable solutions.•Three different strategies are introduced to improve the performance of HWWO.•The control parameters are calibrated with extensive experiments.•The comparisons of HWWO with state-of-the-arts algorithms are presented. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.eswa.2019.113166 | Expert Systems with Applications |
Keywords | Field | DocType |
Water wave optimization,No-idle flowshop scheduling problem,Total tardiness,Variable neighborhood search | Data mining,Population,Mathematical optimization,Tardiness,Job shop scheduling,Variable neighborhood search,Local optimum,Computer science,Dispersion (water waves),Local search (optimization),Time complexity | Journal |
Volume | ISSN | Citations |
146 | 0957-4174 | 5 |
PageRank | References | Authors |
0.41 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fuqing Zhao | 1 | 129 | 22.63 |
| Lixin Zhang | 2 | 6 | 0.76 |
| Yi Zhang | 3 | 400 | 77.93 |
| Weimin Ma | 4 | 427 | 26.76 |
| Chuck Zhang | 5 | 117 | 15.72 |
| Houbin Song | 6 | 12 | 2.19 |