Multi-objective, multi-domain genetic optimization of a hydraulic rescue spreader

• A new strategy for multi-domain optimization of mechanisms is proposed.
• The order of the design space can be reduced through exact synthesis techniques.
• Indirect variable specification allows natural bounding and solution rectification.
• A nested optimization is effective for complex multi-domain problems.

In this paper, general strategies are presented by which a multi-domain, multi-objective, mechanism-based optimization problem may be efficiently formulated and solved by means of a genetic algorithm. These strategies include integration of traditional precision position techniques with genetic optimization, efficient selection of design variables and search bounds, and a nested optimization structure. A case study illustrating these methods is presented in which a hydraulic rescue spreader is simultaneously optimized for four objectives relating to structural efficiency and kinematic behavior. The solution obtained is shown to be equal or superior to a comparable commercially available device with respect to all four objectives.