GP-endchess: Using genetic programming to evolve chess endgame players

Ami Hauptman, Moshe Sipper

Research output: Contribution to journalConference articlepeer-review

43 Scopus citations

Abstract

We apply genetic programming to the evolution of strategies for playing chess endgames. Our evolved programs are able to draw or win against an expert human-based strategy, and draw against CRAFTY - a world-class chess program, which finished second in the 2004 Computer Chess Championship.

Original languageEnglish
Pages (from-to)120-131
Number of pages12
JournalLecture Notes in Computer Science
Volume3447
DOIs
StatePublished - 1 Jan 2005
Event8th European Conference on Genetic Programming, EuroGP 2005 - Lausanne, Switzerland
Duration: 30 Mar 20051 Apr 2005

Keywords

  • Genetic Programming
  • Game Tree
  • Complex Terminal
  • Chess Player
  • Genetic Programming System

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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