Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Robotic modeling and simulation of palletizer robot using Workspace5
CGIV '07 Proceedings of the Computer Graphics, Imaging and Visualisation
Evolutionary Minimum Cost Trajectory Planning for Industrial Robots
Journal of Intelligent and Robotic Systems
Evolutionary multi-criteria trajectory modeling of industrial robots in the presence of obstacles
Engineering Applications of Artificial Intelligence
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This paper describes the use of a genetic algorithm (GA) in order to optimize the trajectory followed by industrial robots (IRs) in stamping lines The objective is to generate valid paths or trajectories without collisions in order to minimize the cycle time required to complete all the operations in an individual stamping cell of the line A commercial software tool is used to simulate the virtual trajectories and potential collisions, taking into account the specific geometries of the different parts involved: robot arms, columns, dies and manipulators Then, a genetic algorithm is proposed to optimize trajectories Both systems, the GA and the simulator, communicate as client - server in order to evaluate solutions proposed by the GA The novelty of the idea is to consider the geometry of the specific components to adjust robot paths to optimize cycle time in a given stamping cell.