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GECCO
2004
Springer

Robot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization

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Robot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization
Generating manipulator trajectories considering multiple objectives and obstacle avoidance is a non trivial optimization problem. In this paper a multiobjective genetic algorithm is proposed to address this problem. Multiple criteria are optimized up to five simultaneous objectives. Simulations results are presented for robots with two and three degrees of freedom, considering two and five objectives optimization. A subsequent analysis of the solutions distribution along the converged non-dominated Pareto front is carried out, in terms of the achieved diversity.
Eduardo José Solteiro Pires, José An
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where GECCO
Authors Eduardo José Solteiro Pires, José António Tenreiro Machado, Paulo B. de Moura Oliveira
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