Name
Abstract | ||
|---|---|---|
•A multiobjective adaptive symbiotic organisms search (MOASOS) is proposed.•A two-archive approach is also applied in MOASOS to maintain population diversity.•Five benchmark planar/space trusses are employed as case studies.•The proposed algorithms are compared with similar studies published in the literature.•The results show the merits of the proposed algorithms. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.knosys.2018.08.005 | Knowledge-Based Systems |
Keywords | Field | DocType |
Meta-heuristic,Structural optimization,Archive technique,Discrete design,Constraint problem | Data mining,Mathematical optimization,Truss,Heuristic,Computer science,Minification,Adaptive control,Local search (optimization),Optimization problem,Maximization,Complex problems | Journal |
Volume | ISSN | Citations |
161 | 0950-7051 | 4 |
PageRank | References | Authors |
0.38 | 19 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ghanshyam G. Tejani | 1 | 87 | 6.27 |
| Nantiwat Pholdee | 2 | 39 | 8.08 |
| Sujin Bureerat | 3 | 64 | 11.36 |
| Doddy Prayogo | 4 | 64 | 4.66 |