Genetic Network Programming with Updating Rule Accumulation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Wang:2011:GNPwURA,

• title = "Genetic Network Programming with Updating Rule Accumulation",
• author = "Lutao Wang and Shingo Mabu and Kotaro Hirasawa",
• pages = "2259--2266",
• booktitle = "Proceedings of the 2011 IEEE Congress on Evolutionary Computation",
• year = "2011",
• editor = "Alice E. Smith",
• month = "5-8 " # jun,
• address = "New Orleans, USA",
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, genetic network programming, Evolutionary computation theory, Evolutionary simulation-based optimisation, Evolutionary games and multi-agent systems",
• DOI = "doi:10.1109/CEC.2011.5949895",
• abstract = "Conventional evolutionary computation methods aim to find elite individuals as the optimal solutions. The rule accumulation method tries to find good experiences from individuals throughout the generations and store them as decision rules, which is regarded as solutions. Genetic Network Programming (GNP) is competent for dynamic environments because of its directed graph structure, reusability of nodes and partially observable processes. A GNP based rule accumulation method has been studied and applied to the stock trading problem. However, with the changing of dynamic environments, the old rules in the rule pool are incompetent for guiding new agent's actions, thus updating these rules becomes necessary. This paper proposes a new method to update the accumulated rules in accordance with the environment changes. Sarsa- learning which is a good on-line learning policy is combined with off-line evolution to generate better individuals and update the rules in the rule pool. Tileworld problem which is an excellent benchmark for multi-agent systems is used as the simulation environment. Simulation results demonstrate the efficiency and effectiveness of the proposed method in dealing with the changing environments.",
• notes = "CEC2011 sponsored by the IEEE Computational Intelligence Society, and previously sponsored by the EPS and the IET.",

}

Genetic Programming entries for Lutao Wang Shingo Mabu Kotaro Hirasawa

Citations