The selection mechanism plays a very important role in the performance of Genetic
Programming (GP). Among several selection techniques, tournament selection is often …

Program semantics is a promising recent research thread in Genetic Programming (GP).
Over a dozen semantic-aware search, selection, and initialization operators for GP have …

The use of semantic information in genetic programming operators has shown major
improvements in recent years, especially in the regression and boolean domain. As …

This research builds on the hypothesis that the use of different fitness measures on the
different generations of genetic programming (GP) is more effective than the convention of …

Semantic information has been used to create operators that improve performance in
genetic programming. As different problem domains have different semantics, extracting …

Symbolic regression (SR) is a function identification process, the task of which is to identify
and express the relationship between the input and output variables in mathematical …

A considerable research effort has been performed recently to improve the power of genetic
programming (GP) by accommodating semantic awareness. The semantics of a tree implies …

抄録 本論文では, 個体が複数の木を持てるように拡張した調整ノード付き GP (GP CN) において,
進化の過程で木の数を自動決定する手法を提案している. GP CN は, 個体が複数の木を持つため …

要旨近年, お掃除ロボットのように, 自ら考え行動する自律的なエージェントが普及してきている.
エージェント学習は, 人工知能の研究分野の 1 つであり, 目的を達成するためにエージェントの判断 …