Real-coded GA for High-dimensional k-tablet Structures: Proposal and Evaluation of Latent Variable Crossover LUNDX-m
Jun Sakuma, Shigenobu Kobayashi · Transactions of the Japanese Society for Artificial Intelligence · 2004
This paper presents the Real-coded Genetic Algorithms(RCGA) which can treat with high-dimensional ill-scaled structures, what is called, k-tablet structure. The k-tablet structure is the landscape that the scale of the fitness function is different between the k-dimensional subspace and the orthogonal (n-k)-dimensional subspace. The search speed of traditional RCGAs degrades when high-dimensional k-tablet structures are included in the landscape of fitness function.