A Schema-Guiding Evolutionary Algorithm for 0-1 Knapsack Problem
Yan Liu, Chao Liu · 2009
A Schema-Guiding Evolutionary Algorithm (SGEA) is proposed in this paper. The novel SGEA has many good features. It proposes the schema-modified operator to adjust the distribution of the population. What's more, it constructs an elite-schema space and proposes the cluster-center schema to guide the direction of individual's evolution. And by such two strategies, the diversity of the population and the local and global search power can be greatly improved. The experimental results show that the SGEA proposed in this paper has many better performances, compared with other methods such as simple genetic algorithm, greedy algorithm and so forth.