Title :
Solving the light up with Ant Colony Optimization
Author :
Rosberg, Igor ; Goldbarg, Elizabeth ; Goldbarg, Marco
Author_Institution :
Dept. of Inf. & Appl. Math., Univ. Fed. do Rio Grande do Norte, Natal, Brazil
Abstract :
A number of single-player games have been proven to be computationally difficult, including the Light Up. Although, recently, such single-player games have received considerable attention from the scientific community, only a few papers address the Light Up. This paper presents a two phase Ant Colony Optimization algorithm to solve this puzzle. In the first phase, logical rules are applied to the game grid in order to restrict the space searched by the algorithm in the second phase. The approach was applied to thirty-two game instances with grids ranging from 7×7 to 40×30 solving them efficiently.
Keywords :
computer games; optimisation; ant colony optimization; game grid; light up; puzzle; scientific community; single-player games; Algorithm design and analysis; Ant colony optimization; Distance measurement; Equations; Evolutionary computation; Games; Programming; ant colony optimization; light up; logical rules; two-phase algorithm;
Conference_Titel :
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-7834-7
DOI :
10.1109/CEC.2011.5949669