The synthesis of hybrid mechanisms using genetic algorithms.
This thesis presents a novel design methodology for the synthesis of hybrid
mechanisms using Genetic Algorithms. GAs are a search and optimisation method
which model the mechanics of population genetics to give a truly global search
In parallel to the development of a suitable GA, the work also develops novel
objective function criteria which go some way to providing an approximation to
dynamic criteria whilst using only kinematic properties during calculations. This has
considerable effect in reducing the time required to find a feasible solution.
The thesis presents a set of results which validate the proposed methodology, both in
terms of speed of convergence and quality of the final solutions obtained. The
application chosen is the synthesis of a hybrid five bar path generating mechanism.
A description is given of the development of a practical machine for a given test
case, so as to illustrate that the solutions produced are feasible in terms of real world
implementation.R esultsa re presentedw hich show the effectivenesso f the machine.
Finally, a critical analysis of both the methodology and the results is carried out. This
highlights some areas in which the methodology could be improved by future work.