Evolving Defence Strategies by Genetic Programming

@incollection{citeulike:2396804, abstract = {Computer games and simulations are commonly used as a basis for analysing and developing battlefield strategies. Such strategies are usually programmed explicitly, but it is also possible to generate them automatically via the use of evolutionary programming techniques. We focus in particular on the use of genetic programming to evolve strategies for a single defender facing multiple simultaneous attacks. By expressing the problem domain in the form of a ‘Space Invaders’ game, we show that it is possible to evolve winning strategies for an increasingly complex sequence of scenarios.}, author = {Jackson, David }, citeulike-article-id = {2396804}, journal = {Genetic Programming}, keywords = {coevolution, genetic\_algorithm}, pages = {281--290}, posted-at = {2008-02-19 00:41:09}, priority = {0}, title = {Evolving Defence Strategies by Genetic Programming}, url = {http://www.springerlink.com/content/gr69p6b7c5g4n21d }, year = {2005} }

TY - CHAP ID - citeulike:2396804 L3 - citeulike-article-id:2396804 TI - Evolving Defence Strategies by Genetic Programming JF - Genetic Programming SP - 281 EP - 290 N2 - Computer games and simulations are commonly used as a basis for analysing and developing battlefield strategies. Such strategies are usually programmed explicitly, but it is also possible to generate them automatically via the use of evolutionary programming techniques. We focus in particular on the use of genetic programming to evolve strategies for a single defender facing multiple simultaneous attacks. By expressing the problem domain in the form of a ‘Space Invaders’ game, we show that it is possible to evolve winning strategies for an increasingly complex sequence of scenarios. KW - coevolution KW - genetic_algorithm AU - Jackson, David PY - 2005/// UR - http://www.springerlink.com/content/gr69p6b7c5g4n21d ER -