Genetic Algorithms and Robotics
Genetic Algorithms and Robotics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
An overview of evolutionary algorithms in multiobjective optimization
Evolutionary Computation
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
Dynamics of fitness sharing evolutionary algorithms for coevolution of multiple species
Applied Soft Computing
Path planning algorithm for bending robots
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
A multi-objective approach for the motion planning of redundant manipulators
Applied Soft Computing
Polynomial joint angle arm robot motion planning in complex geometrical obstacles
Applied Soft Computing
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Generating manipulator trajectories considering multiple objectives and obstacle avoidance is a non-trivial optimization problem. In this paper a multi-objective genetic algorithm based technique is proposed to address this problem. Multiple criteria are optimized considering up to five simultaneous objectives. Simulation results are presented for robots with two and three degrees of freedom, considering two and five objectives optimization. A subsequent analysis of the spread and solutions distribution along the converged non-dominated Pareto front is carried out, in terms of the achieved diversity.