On-line Adaptation of Search via Knowledge Reuse

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

@InProceedings{Haynes:1997:adskr,

• author = "Thomas Haynes",
• title = "On-line Adaptation of Search via Knowledge Reuse",
• booktitle = "Genetic Programming 1997: Proceedings of the Second Annual Conference",
• editor = "John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo",
• year = "1997",
• month = "13-16 " # jul,
• keywords = "genetic algorithms, genetic programming, distributed search",
• pages = "156--161",
• address = "Stanford University, CA, USA",
• publisher_address = "San Francisco, CA, USA",
• publisher = "Morgan Kaufmann",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.3381",
• size = "8 pages",
• abstract = "We have integrated the distributed search of genetic programming based systems with collective memory to form a collective adaptation search method. Such a system significantly improves search as problem complexity is increased. In collective adaptation, search agents gather knowledge of their environment and deposit it in a central information repository. Process agents are then able to manipulate that focused knowledge, exploiting the exploration of the search agents. Communication is oneway, from the search agents to the process agents. As the process agents are able to refine the knowledge gathered by the search agents, we investigate two-way communication. Such communication directs the genetic programming based engine of the search agents.",
• notes = "GP-97",

}

Genetic Programming entries for Thomas D Haynes

Citations