Name
Abstract | ||
|---|---|---|
•Efficient self-adaptive multiobjective meta-heuristic (MOMH) algorithm.•Use of success-history based parameter adaptation for optimisation parameters.•Comparative results of a robot path planning problem with well-established MOMHs.•New design results set as the baseline for further studies. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.06.033 | Expert Systems with Applications |
Keywords | Field | DocType |
Multiobjective meta-heuristic algorithm,Robot trajectory planning multiobjective,Optimisation,Self-adaptive algorithm,Time-jerk minimisation | Population,Data mining,Polynomial,Control theory,Computer science,Jerk,Differential evolution,Acceleration,Equations of motion,Robot,Trajectory | Journal |
Volume | ISSN | Citations |
136 | 0957-4174 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sujin Bureerat | 1 | 64 | 11.36 |
| Nantiwat Pholdee | 2 | 39 | 8.08 |
| Thana Radpukdee | 3 | 0 | 1.35 |
| Papot Jaroenapibal | 4 | 0 | 0.68 |