GP-robocode: Using genetic programming to evolve robocode players

Yehonatan Shichel; Eran Ziserman; Moshe Sipper

doi:10.1007/978-3-540-31989-4_13

GP-robocode: Using genetic programming to evolve robocode players

Yehonatan Shichel
, Eran Ziserman
, Moshe Sipper

Research output: Contribution to journal › Conference article › peer-review

33 Scopus citations

Abstract

This paper describes the first attempt to introduce evolutionarily designed players into the international Robocode league, a simulation-based game wherein robotic tanks fight to destruction in a closed arena. Using genetic programming to evolve tank strategies for this highly active forum, we were able to rank third out of twenty-seven players in the category of HaikuBots. Our GPBot was the only entry not written by a human.

Original language	English
Pages (from-to)	143-154
Number of pages	12
Journal	Lecture Notes in Computer Science
Volume	3447
DOIs	https://doi.org/10.1007/978-3-540-31989-4_13
State	Published - 1 Jan 2005
Event	8th European Conference on Genetic Programming, EuroGP 2005 - Lausanne, Switzerland Duration: 30 Mar 2005 → 1 Apr 2005

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-31989-4_13

Cite this

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title = "GP-robocode: Using genetic programming to evolve robocode players",

abstract = "This paper describes the first attempt to introduce evolutionarily designed players into the international Robocode league, a simulation-based game wherein robotic tanks fight to destruction in a closed arena. Using genetic programming to evolve tank strategies for this highly active forum, we were able to rank third out of twenty-seven players in the category of HaikuBots. Our GPBot was the only entry not written by a human.",

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AU - Ziserman, Eran

AU - Sipper, Moshe

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Y1 - 2005/1/1

N2 - This paper describes the first attempt to introduce evolutionarily designed players into the international Robocode league, a simulation-based game wherein robotic tanks fight to destruction in a closed arena. Using genetic programming to evolve tank strategies for this highly active forum, we were able to rank third out of twenty-seven players in the category of HaikuBots. Our GPBot was the only entry not written by a human.

AB - This paper describes the first attempt to introduce evolutionarily designed players into the international Robocode league, a simulation-based game wherein robotic tanks fight to destruction in a closed arena. Using genetic programming to evolve tank strategies for this highly active forum, we were able to rank third out of twenty-seven players in the category of HaikuBots. Our GPBot was the only entry not written by a human.

UR - https://www.scopus.com/pages/publications/24644511724

U2 - 10.1007/978-3-540-31989-4_13

DO - 10.1007/978-3-540-31989-4_13

M3 - Conference article

AN - SCOPUS:24644511724

SN - 0302-9743

VL - 3447

SP - 143

EP - 154

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

Y2 - 30 March 2005 through 1 April 2005

ER -

GP-robocode: Using genetic programming to evolve robocode players

Abstract

ASJC Scopus subject areas

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