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

Ami Hauptman, Moshe Sipper

Research output: Contribution to journalConference articlepeer-review

43 Scopus citations


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
StatePublished - 1 Jan 2005
Event8th European Conference on Genetic Programming, EuroGP 2005 - Lausanne, Switzerland
Duration: 30 Mar 20051 Apr 2005


  • 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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