TY - GEN
T1 - Solving Sequential Competitive Facility Location Challenges
T2 - 10th IEEE International Conference on Smart Computing, SMARTCOMP 2024
AU - Kulturel-Konak, Sadan
AU - Konak, Abdullah
AU - Snyder, Lawrence V.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In smart computing, addressing combinatorial optimization game theory problems is essential for resolving intricate challenges involving limited resources and significant strategic interactions among decision-makers. In this paper, we solved sequential combinatorial optimization game theory problems using an evolutionary algorithm called the Game-Theoretic Genetic Algorithm (GTGA), where it is computationally infeasible to enumerate all players' decision options. The computational experiments show that the proposed fitness evaluation methods enable the GTGA to converge to true Stackelberg equilibria. Our research highlights the practical applicability of the GTGA in addressing real-world problems characterized by dynamic decision-making and strategic interactions.
AB - In smart computing, addressing combinatorial optimization game theory problems is essential for resolving intricate challenges involving limited resources and significant strategic interactions among decision-makers. In this paper, we solved sequential combinatorial optimization game theory problems using an evolutionary algorithm called the Game-Theoretic Genetic Algorithm (GTGA), where it is computationally infeasible to enumerate all players' decision options. The computational experiments show that the proposed fitness evaluation methods enable the GTGA to converge to true Stackelberg equilibria. Our research highlights the practical applicability of the GTGA in addressing real-world problems characterized by dynamic decision-making and strategic interactions.
UR - http://www.scopus.com/inward/record.url?scp=85200751023&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85200751023&partnerID=8YFLogxK
U2 - 10.1109/SMARTCOMP61445.2024.00052
DO - 10.1109/SMARTCOMP61445.2024.00052
M3 - Conference contribution
AN - SCOPUS:85200751023
T3 - Proceedings - 2024 IEEE International Conference on Smart Computing, SMARTCOMP 2024
SP - 234
EP - 236
BT - Proceedings - 2024 IEEE International Conference on Smart Computing, SMARTCOMP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 June 2024 through 2 July 2024
ER -