Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Fuzzy evolutionary algorithms and automatic robot trajectory generation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Xu, H.Y. ; Canadian Space Agency, St. Hubert, Que., Canada ; Vukovich, G.

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

Published in:

Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on

Date of Conference:

27-29 Jun 1994