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.