3篇
您的检索式：作者名="Ellips MASEHIAN"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Multi-objective robot motion planning using a particle swarm optimization model显示文摘Two new heuristic models are developed for motion planning of point robots in known environments.The first model is a combination of an improved particle swarm optimization (PSO) algorithm used as a global planner and the probabilistic roadmap (PRM) method acting as a local obstacle avoidance planner.For the PSO component,new improvements are proposed in initial particle generation,the weighting mechanism,and position-and velocity-updating processes.Moreover,two objective functions which aim to minimize the path length and oscillations,govern the robot’s movements towards its goal.The PSO and PRM components are further intertwined by incorporating the best PSO particles into the randomly generated PRM.The second model combines a genetic algorithm component with the PRM method.In this model,new specific selection,mutation,and crossover operators are designed to evolve the population of discrete particles located in continuous space.Thorough comparisons of the developed models with each other,and against the standard PRM method,show the advantages of the PSO method. | Ellips MASEHIAN Davoud SEDIGHIZADEH | 2010 | Journal of Zhejiang University-Science C(Computers and Electronics)2010，11，8： | 11 |
| 2 | A Voronoi diagramvisibility graph-potential field compound algorithm for robot path planning 显示文摘 | Ellips Masehian M R Amin-Naseri | 2004 | Journal of Robotic Systems2004，21，6： | 1 |
| 3 | Review and Taxonomies of Assembly and Disassembly Path Planning Problems and Approaches 显示文摘 | Somay6 Ghandi Ellips Masehian | 2015 | Computer-Aided Design2015，，6768： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员