Synthesis of Mechanism for single- and hybrid-tasks using Differential Evolution

Details Synthesis of Mechanism for single- and hybrid-tasks using Differential Evolution Synthesis of Mechanism for single- and hybrid-tasks using Differential Evolution

2011-02-10

arxiv.org/abs/1102.2017v2

Computer Science

Computational Engineering, Finance, and Science

Final version accepted in Mechanism and Machine Theory

Scientific paper

10.1016/j.mechmachtheory.2011.05

The optimal dimensional synthesis for planar mechanisms using differential evolution (DE) is demonstrated. Four examples are included: in the first case, the synthesis of a mechanism for hybrid-tasks, considering path generation, function generation, and motion generation, is carried out. The second and third cases pertain to path generation, with and without prescribed timing. Finally, the synthesis of an Ackerman mechanism is reported. Order defect problem is solved by manipulating individuals instead of penalizing or discretizing the search space for the parameters. A technique that consists in applying a transformation in order to satisfy the Grashof and crank conditions to generate an initial elitist population is introduced. As a result, the evolutionary algorithm increases its efficiency.

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