Agent-based modeling plays an essential role in gaining insights into biology, sociology, economics, and other fields. However, many existing agent-based simulation platforms are …
C Lin, MF Azmine, Y Yi - 2023 IEEE/ACM International …, 2023 - ieeexplore.ieee.org
5G and beyond 5G wireless communication has revolutionized our daily lives. However, the increased bandwidth and data rate transfer in 5G present challenges, particularly in the …
P Andelfinger - ACM Transactions on Modeling and Computer …, 2023 - dl.acm.org
Simulation-based optimization using agent-based models is typically carried out under the assumption that the gradient describing the sensitivity of the simulation output to the input …
Forced displacement of people worldwide, for example, due to violent conflicts, is common in the modern world, and today more than 82 million people are forcibly displaced. This puts …
P Andelfinger - Proceedings of the 2021 ACM SIGSIM Conference on …, 2021 - dl.acm.org
Simulation-based optimization using agent-based models is typically carried out under the assumption that the gradient describing the sensitivity of the simulation output to the input …
The evolutionary game theory aims to simulate different decision strategies in populations of individuals and to determine how the population evolves. Compared to strategies between …
Parallel traffic simulation requires partitioning the road network into several components that can be assigned to different computing nodes (CPNs). Existing studies focus more on …
Agent‐based modeling (ABM) has been extensively used to study the collective behavior of systems emerging from the interaction of numerous independent individuals called agents …