Study of Differential Evolution Variants in the Dimensional Synthesis of Four-Bar Grashof-Type Mechanisms

Mechanisms have allowed for the automation of complex, repetitive, demanding, or dangerous tasks humans. Among different mechanisms, those with a closed kinematic chain are more precise and robust compared to open ones, which makes them suitable many applications. One most widely used closed-chain alternatives is four-bar Grashof-type mechanism, as it can generate highly nonlinear trajectories single degree freedom. However, dimensional synthesis these mechanisms specific complex task. Fortunately, computational methods known metaheuristics solve such problems effectively. Differential Evolution (DE) metaheuristic commonly tackle problem. This paper presents comparative study variants DE in solving problem mechanisms. The purpose provide guidelines choose best alternative this type, well support development DE-based algorithms that cases After analysis, rand/1/exp variant was found be effective problem, followed by best/1/bin. Based on results, Simple Improved (SIDE) based two proposed. competitive performance SIDE respect studied contrast results recent specialized literature mechanism illustrates usefulness study.