Name
Title | ||
|---|---|---|
Game-theoretic differential evolution for multiobjective optimization of green sand mould system |
Abstract | ||
|---|---|---|
Many large-scale engineering problems often take a multiobjective form. Thus, several solution options to the MO problem are usually ascertained by the engineer. Then the most desirable options with respect to the industrial circumstances and online operating conditions are selected. In this work, the trade-off solutions are obtained using the weighted-sum approach. In addition the standard metaheuristic, differential evolution is improved using concepts from evolutionary game theory. These techniques are then applied to solve the industrial green sand mould development problem. The solutions are then examined and discussed from various standpoints. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s00500-015-1694-5 | Soft Computing - A Fusion of Foundations, Methodologies and Applications |
Keywords | Field | DocType |
Large-scale, Multiobjective, Green sand mould system, Differential evolution (DE), Game-theoretic differential evolution (GTDE), Pareto frontier construction | Mathematical optimization,Computer science,Differential evolution,Multi-objective optimization,Game theoretic,Evolutionary game theory,Metaheuristic | Journal |
Volume | Issue | ISSN |
20 | 8 | 1432-7643 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| t ganesan | 1 | 10 | 1.25 |
| P. Vasant | 2 | 100 | 15.00 |
| I. Elamvazuthi | 3 | 145 | 16.99 |
| Ku Zilati Ku Shaari | 4 | 2 | 1.05 |