Prasad, V. R. Badri. Enhancing action maze video games using shuffled frog leaping algorithm. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Enhancing action maze video games using shuffled frog leaping algorithm
Abstract:
Shuffled Frog Leaping Algorithm(SFLA) is a very
popular population-based meta-heuristic algorithm, created by
Eusuff and Lansey in 2006. Because of its limited variables and
easiness in implementation, it is used in memetics and particle
swarm optimization to give several use cases. We believe one
unexplored application of this algorithm is in video games,
primarily in the genre of action based video games. They
involve optimizations in path planning and navigation where
SFLA can be utilized. We also believe these games can serve as
simulations for real-life scenarios of navigation, thereby giving a
virtual environment to enhance this algorithm further. Finally,
we compare this method with popular nature based ones such as
BFA and SPPSO algorithms and conclude on their optimization
efficiency for action maze video games like Pac-Man
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2024-05-23
Issued:
2024-05-23
BibliograpyCitation :
In IEEE Computer Society. 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT 2022) (pp.432-438). Los Alamitos, CA : IEEE Computer Society