Name
Title | ||
|---|---|---|
Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs |
Abstract | ||
|---|---|---|
AbstractThe operation process design is one of the key issues in the manufacturing and service sectors. As a typical operation process, the scheduling with consideration of the deteriorating effect has been widely studied; however, the current literature only studied single function requirement and rarely considered the multiple function requirements which are critical for a real-world scheduling process. In this article, two function requirements are involved in the design of a scheduling process with consideration of the deteriorating effect and then formulated into two objectives of a mathematical programming model. A novel multiobjective evolutionary algorithm is proposed to solve this model with combination of three strategies, i.e. a multiple population scheme, a rule-based local search method and an elitist preserve strategy. To validate the proposed model and algorithm, a series of randomly-generated instances are tested and the experimental results indicate that the model is effective and the proposed algorithm can achieve the satisfactory performance which outperforms the other state-of-the-art multiobjective evolutionary algorithms, such as nondominated sorting genetic algorithm II and multiobjective evolutionary algorithm based on decomposition, on all the test instances. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1080/17517575.2015.1078913 | Periodicals |
Keywords | Field | DocType |
Operation process design,enterprise system,multiobjective scheduling,deteriorating effect,multiobjective evolutionary algorithm | Population,Mathematical optimization,Job shop scheduling,Fair-share scheduling,Evolutionary algorithm,Computer science,Scheduling (computing),Process design,Local search (optimization),Genetic algorithm | Journal |
Volume | Issue | ISSN |
10 | 3 | 1751-7575 |
Citations | PageRank | References |
12 | 0.55 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongfeng Wang | 1 | 52 | 3.70 |
| Yaping Fu | 2 | 69 | 4.41 |
| Min Huang | 3 | 423 | 71.49 |
| Junwei Wang | 4 | 539 | 35.52 |