Abstract
A fuzzy evolutionary algorithm (FEA) is presented by systematically integrating fuzzy expert systems with evolutionary algorithms in this paper. Both computer experiments and applications demonstrate that fuzzy evolutionary algorithms can generally search for optimal solutions faster and more effectively than standard genetic algorithms. As a specific application, a FEA is applied to automatic robot trajectory generation without using inverse kinematics. An example is given to show that a trajectory of a 7 degree of freedom robot can be automatically generated using the proposed FEA. >
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