Research on cultural genetic algorithm based on schema fetching

作者：Tongxi Li · 发表于：Computer Engineering and Applications Journal · 年份：2007 · 被引用次数：3 · 研究领域：Simulation and Modeling Applications、Advanced Computational Techniques and Applications、Mobile Agent-Based Network Management

The paper proposes a Cultural Genetic Algorithm based on Schema Fetching(CGASF).This algorithm embeds GA into the cultural algorithm framework and composes an algorithm with GA main population space and belief space.The worst individuals of the main population space are organized periodically to study the optimal schema that the belief space provides.It exploits the information sufficiently that the optimum individual carries and speeds up the evolutionary process.Experiments results prove that the algorithm is an efficient and effective improved genetic algorithm.