Name
Title | ||
|---|---|---|
Effects of different chromosome representations in developing genetic algorithms to solve DFJS scheduling problems. |
Abstract | ||
|---|---|---|
•A genetic algorithm for solving DFJS scheduling problems is proposed.•The algorithm outperforms all prior algorithms on solving DFJS problems.•Develop an incomplete representation scheme (chromosome) for encoding a solution.•Develop load-balance methods for decoding chromosomes to generate good solutions. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.cor.2016.11.021 | Computers & Operations Research |
Keywords | Field | DocType |
Scheduling,Distributed flexible job shop,Genetic algorithm,Chromosome representation | Chromosome (genetic algorithm),Mathematical optimization,Job shop scheduling,Scheduling (computing),Flow shop scheduling,Genetic representation,Search problem,Mathematics,Genetic algorithm | Journal |
Volume | ISSN | Citations |
80 | 0305-0548 | 5 |
PageRank | References | Authors |
0.42 | 21 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muh-Cherng Wu | 1 | 227 | 16.58 |
| Chi-Shiuan Lin | 2 | 6 | 0.76 |
| Chia-Hui Lin | 3 | 5 | 0.42 |
| Chen-Fu Chen | 4 | 16 | 1.69 |