作者: B. Hoda Helmi , Adel T. Rahmani , Martin Pelikan
关键词: Theoretical computer science 、 Mathematical optimization 、 Genetic algorithm 、 Optimization problem 、 Meta-optimization 、 Time complexity 、 Factor graph 、 Matrix decomposition 、 Population-based incremental learning 、 Mathematics 、 Estimation of distribution algorithm
摘要: We propose a new linkage learning genetic algorithm called the Factor Graph based Genetic Algorithm (FGGA). In the FGGA, a factor graph is used to encode the underlying …