شماره ركورد كنفرانس :
144
عنوان مقاله :
A Metaheuristic approach for solving jigsaw puzzles
پديدآورندگان :
Ghasemzadeh Hamzeh نويسنده
كليدواژه :
Max- Min Ant Colony System , jigsaw puzzle , Genetic algorithm , Simulated annealing
عنوان كنفرانس :
مجموعه مقالات دوازدهمين كنفرانس سيستم هاي هوشمند ايران
چكيده فارسي :
Abstract—puzzle solving is the art of pattern recognition which
has found many applications in different areas such as
restoration and reconstruction of archeological findings,
repairing of broken objects, solving jigsaw puzzles, molecular
docking problem, etc. There are two inherent problems in
solving a general jigsaw puzzle; one is how to search through
possible arrangements efficiently. The other one is devising
some piece matching technique. To our best knowledge,
current literature lacks a thorough investigation of the first
problem. This paper investigates this problem in depth.
Furthermore, different metaheuristic approaches to solve this
problem are explored.
شماره مدرك كنفرانس :
3817034