Multi-Objective Optimal Synthesis of a Curve-Scribing Mechanism via Artificial Intelligence

In this paper, hybrid multi-objective Genetic Algorithms (GAs) are used for Pareto optimum synthesis of a curve-scribing mechanism as a hinge device considering theoptimization of two objective functions simultaneously. The important conflicting objective functions that have been considered in this work are mechanical advantage (MA) and link length ratio (LR). The obtained Pareto fronts demonstrate that trade-offs between these two objectives can be recognized so that a designer can optimally compromise for the selection of a desired curve-scribing mechanism. Moreover, the new ranges of design variables are also extracted in comparison with those given in the literature.

کلیدواژه ها:

Optimization ، Artificial Intelligence ، Genetic Algorithm ، Mechanism