基于粒子群算法的曲柄滑块机构优化设计

Optimization design of slider-crank mechanism based on particle swarm algorithm

针对带有约束条件曲柄滑块机构优化设计问题,提出将混合惩罚函数法与粒子群优化原理相结合算法,使带有约束条件问题转化为无约束优化问题,通过实例进行测试,将其结果与常规优化设计结果进行比较,结果表明PSO算法在曲柄滑块机构优化设计中具有实用性强、有求解准确可靠等优点,是一种有效的求解方法。

Aiming at the optimized design question of slider-crank mechanism with constraints, a algorithm is put forward that the principle of particle swarm optimization is combined with the method of mixed penalty function in the paper. The problem with constraint condition is transformed into a no-constrained optimization problem, and by the example test of that PSO algorithm, the results that is compared to the results the conventional optimization design is strong practicality, solving accurate and reliable etc. , which is an effective solution in slider-crank mechanism with optimization design.