论文标题
使用遗传算法评估不同类型的跨界和选择方法对0/1背包的收敛的影响
Evaluating the impact of different types of crossover and selection methods on the convergence of 0/1 Knapsack using Genetic Algorithm
论文作者
论文摘要
遗传算法是一种进化算法，也是一种元神经，它是为了克服基于梯度的方法在解决优化和搜索问题方面的失败。本文的目的是评估对遗传算法相对于0/1 knapsack的影响的影响。通过保持世代的数量和固定的初始种群，评估并彼此并置了不同的交叉方法，例如一个点交叉和两点交叉。除此之外，还评估了和比较不同选择方法，例如排名，轮盘轮和锦标赛选择。我们的结果表明，相对于我们考虑的0/1 knapsack问题的一点点交叉的组合速率是最高，因此在解决0/1 knapsack方面是最有效的。
Genetic Algorithm is an evolutionary algorithm and a metaheuristic that was introduced to overcome the failure of gradient based method in solving the optimization and search problems. The purpose of this paper is to evaluate the impact on the convergence of Genetic Algorithm vis-a-vis 0/1 knapsack. By keeping the number of generations and the initial population fixed, different crossover methods like one point crossover and two-point crossover were evaluated and juxtaposed with each other. In addition to this, the impact of different selection methods like rank-selection, roulette wheel and tournament selection were evaluated and compared. Our results indicate that convergence rate of combination of one point crossover with tournament selection, with respect to 0/1 knapsack problem that we considered, is the highest and thereby most efficient in solving 0/1 knapsack.
