Niching genetic network programming with rule accumulation for decision making: An evolutionary rule-based approach
作者：
Highlights：
• A novel learning classifier system named nGNP-RA is proposed.
• A niching mechanism is proposed to evolve the high-quality and diverse individuals.
• A reinforcement learning-based credit assignment method is developed.
• Experiments show the superiority of nGNP-RA.
• It provides a novel rule-based system for decision making tasks.
摘要
•A novel learning classifier system named nGNP-RA is proposed.•A niching mechanism is proposed to evolve the high-quality and diverse individuals.•A reinforcement learning-based credit assignment method is developed.•Experiments show the superiority of nGNP-RA.•It provides a novel rule-based system for decision making tasks.
论文关键词：Decision making,Genetic network programming,Learning classifier system,Niching,Reinforcement learning,Rule accumulation
论文评审过程：Received 2 May 2018, Revised 11 July 2018, Accepted 18 July 2018, Available online 26 July 2018, Version of Record 6 August 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.041
