Name
Title | ||
|---|---|---|
A bi-objective load balancing model in a distributed simulation system using NSGA-II and MOPSO approaches. |
Abstract | ||
|---|---|---|
•A novel bi-objective load balancing model is developed.•This problem has been inspired from implementing HLA simulation system.•Two meta-heuristic algorithms i.e. NSGA-II and MOPSO with improving strategies are proposed to solve the problem.•A novel approach of Taguchi method is used to tune the parameters of the algorithms.•The results indicate that MOPSO with ELS is more powerful in solving the problem. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2017.09.012 | Applied Soft Computing |
Keywords | Field | DocType |
Load balancing,High level architecture,Multi-objective optimization,Non-dominated sorting genetic algorithm with elitist strategy,Multi-objective particle swarm optimization | Particle swarm optimization,Mathematical optimization,Ranking,Load balancing (computing),Sorting,Taguchi methods,Genetic algorithm,Mathematics,Computation,High-level architecture | Journal |
Volume | Issue | ISSN |
63 | C | 1568-4946 |
Citations | PageRank | References |
6 | 0.44 | 24 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuxin Ding | 1 | 10 | 1.29 |
| Chen Chen | 2 | 11 | 1.91 |
| Bin Xin | 3 | 265 | 24.77 |
| Panos M. Pardalos | 4 | 141 | 19.60 |