2&3-dimensional optimization of connecting rod with genetic and modified cuckoo optimization algorithms

in this paper, a connecting rod was modeled and analyzed by finite element method. byusing genetic algorithm (ga) and modified cuckoo optimization algorithm (mcoa), the materialproperties and some geometrical specifications were optimized. cost function was a combination ofweight and stress. the connecting rod was under a load of 21.8 kn which obtained 360o crank angleat 5700 rev/min. the reduction percentages of weight in 2-d analysis were 45.47% and 50.34%based on ga and mcoa, respectively. the reduction percentages of stress were also 1.26% and2.20% based on ga and mcoa, respectively. the values of reduction percentages in 3-d analysisshowed the same trends.the results showed that applying each of the algorithms was efficient. meanwhile, the resultsof mcoa were better than ga, because of the smaller number of iterations and the initialpopulation, which resulted in increasing the rate of convergence (i.e. decreasing computationaltime) and accuracy of answers. it can be mentioned that mcoa is an efficient and reliablealgorithm and can be used as a benchmark for future works.