Classic and heuristic approaches in robot motion planning-a chronological review E Masehian, D Sedighizadeh World Academy of Science, Engineering and Technology 23 (5), 101-106, 2007 | 364 | 2007 |
Particle swarm optimization methods, taxonomy and applications D Sedighizadeh, E Masehian International journal of computer theory and engineering 1 (5), 486-502, 2009 | 290 | 2009 |
A voronoi diagram‐visibility graph‐potential field compound algorithm for robot path planning E Masehian, MR Amin‐Naseri Journal of Robotic Systems 21 (6), 275-300, 2004 | 194 | 2004 |
Review and taxonomies of assembly and disassembly path planning problems and approaches S Ghandi, E Masehian Computer-Aided Design 67, 58-86, 2015 | 186 | 2015 |
A multi-objective PSO-based algorithm for robot path planning E Masehian, D Sedighizadeh 2010 IEEE international conference on industrial technology, 465-470, 2010 | 157 | 2010 |
Modular robotic systems: Characteristics and applications H Ahmadzadeh, E Masehian, M Asadpour Journal of Intelligent & Robotic Systems 81, 317-357, 2016 | 130 | 2016 |
Multi-objective PSO-and NPSO-based algorithms for robot path planning E Masehian, D Sedighizadeh Advances in Electrical and Computer Engineering 10 (4), 69-76, 2010 | 101 | 2010 |
Modular robotic systems: Methods and algorithms for abstraction, planning, control, and synchronization H Ahmadzadeh, E Masehian Artificial Intelligence 223, 27-64, 2015 | 91 | 2015 |
GEPSO: A new generalized particle swarm optimization algorithm D Sedighizadeh, E Masehian, M Sedighizadeh, H Akbaripour Mathematics and Computers in Simulation 179, 194-212, 2021 | 84 | 2021 |
Robot motion planning in dynamic environments with moving obstacles and target E Masehian, Y Katebi International Journal of Computer and Information Engineering 1 (5), 1249-1254, 2007 | 77 | 2007 |
Semi-lazy probabilistic roadmap: a parameter-tuned, resilient and robust path planning method for manipulator robots H Akbaripour, E Masehian The International Journal of Advanced Manufacturing Technology 89, 1401-1430, 2017 | 70 | 2017 |
A breakout local search (BLS) method for solving the assembly sequence planning problem S Ghandi, E Masehian Engineering applications of artificial intelligence 39, 245-266, 2015 | 58 | 2015 |
Multi-objective robot motion planning using a particle swarm optimization model E Masehian, D Sedighizadeh Journal of Zhejiang University SCIENCE C 11, 607-619, 2010 | 57 | 2010 |
Sensor-based robot motion planning-a tabu search approach E Masehian, MR Amin-Naseri IEEE Robotics & Automation Magazine 15 (2), 48-57, 2008 | 50 | 2008 |
A reverse logistics network for recovery systems and a robust metaheuristic solution approach M Eskandarpour, E Masehian, R Soltani, A Khosrojerdi The International Journal of Advanced Manufacturing Technology 74, 1393-1406, 2014 | 48 | 2014 |
Efficient and robust parameter tuning for heuristic algorithms H Akbaripour, E Masehian INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH …, 2013 | 46 | 2013 |
Cooperative mapping of unknown environments by multiple heterogeneous mobile robots with limited sensing E Masehian, M Jannati, T Hekmatfar Robotics and Autonomous Systems 87, 188-218, 2017 | 41 | 2017 |
Assembly sequence planning of rigid and flexible parts S Ghandi, E Masehian Journal of manufacturing systems 36, 128-146, 2015 | 40 | 2015 |
Sensor-based motion planning of wheeled mobile robots in unknown dynamic environments E Masehian, Y Katebi Journal of Intelligent & Robotic Systems 74, 893-914, 2014 | 38 | 2014 |
Robot path planning in 3D space using binary integer programming E Masehian, G Habibi International Journal of Computer and Information Engineering 1 (5), 1255-1260, 2007 | 35 | 2007 |